Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

Article

Atmakuru, Anirudh, Shahini, Alen, Chakraborty, Subrata, Seoni, Silvia, Salvi, Massimo, Hafeez-Baig, Abdul, Rashid, Sadaf, Tan, Ru San, Barua, Prabal Datta, Molinari, Filippo and Acharya, U Rajendra. 2025. "Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)." Information Fusion. 114. https://doi.org/10.1016/j.inffus.2024.102673
Article Title

Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

ERA Journal ID20983
Article CategoryArticle
AuthorsAtmakuru, Anirudh, Shahini, Alen, Chakraborty, Subrata, Seoni, Silvia, Salvi, Massimo, Hafeez-Baig, Abdul, Rashid, Sadaf, Tan, Ru San, Barua, Prabal Datta, Molinari, Filippo and Acharya, U Rajendra
Journal TitleInformation Fusion
Journal Citation114
Number of Pages29
Year2025
PublisherElsevier
Place of PublicationNetherlands
ISSN1566-2535
1872-6305
Digital Object Identifier (DOI)https://doi.org/10.1016/j.inffus.2024.102673
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S1566253524004512
Abstract

Suicide is a major global public health concern, and the application of artificial intelligence (AI) methods, such as natural language processing (NLP), machine learning (ML), and deep learning (DL), has shown promise in advancing suicide prediction and prevention efforts. Recent advancements in AI – particularly NLP and DL have opened up new avenues of research in suicide prediction and prevention. While several papers have reviewed specific detection techniques like NLP or DL, there has been no recent study that acts as a one-stop-shop, providing a comprehensive overview of all AI-based studies in this field. In this work, we conduct a systematic literature review to identify relevant studies published between 2019 and 2023, resulting in the inclusion of 156 studies. We provide a comprehensive overview of the current state of research conducted on AI-driven suicide prevention and prediction, focusing on different data types and AI techniques employed. We discuss the benefits and challenges of these approaches and propose future research directions to improve the practical application of AI in suicide research. AI is highly capable of improving the accuracy and efficiency of risk assessment, enabling personalized interventions, and enhancing our understanding of risk and protective factors. Multidisciplinary approaches combining diverse data sources and AI methods can help identify individuals at risk by analyzing social media content, patient histories, and data from mobile devices, enabling timely intervention. However, challenges related to data privacy, algorithmic bias, model interpretability, and real-world implementation must be addressed to realize the full potential of these technologies. Future research should focus on integrating prediction and prevention strategies, harnessing multimodal data, and expanding the scope to include diverse populations. Collaboration across disciplines and stakeholders is essential to ensure that AI-driven suicide prevention and prediction efforts are ethical, culturally sensitive, and person-centered.

KeywordsArtificial intelligence ; Natural language processing; Mental health; Machine learning; Suicide prevention; Suicide prediction
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020420313. Mental health services
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Byline AffiliationsUniversity of Massachusetts, United States
PolitoBIOMed Lab, Italy
University of New England
University of Technology Sydney
Griffith University
School of Business
Sunshine Coast University Hospital, Australia
National Heart Centre, Singapore
Duke-NUS Medical School, Singapore
School of Mathematics, Physics and Computing
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What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Roshanzamir, Mohamad, Jafari, Mahboobeh, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." Information Systems Frontiers: a journal of research and innovation. https://doi.org/10.1007/s10796-023-10466-7
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors
Roshanzamir, Mohamad, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Sep 2023 Switzerland . https://doi.org/10.1007/978-3-031-50320-7_1
An automated earthquake classification model based on a new butterfly pattern using seismic signals
Ozkaya, Suat Gokhan, Baygin, Mehmet, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Chakraborty, Subrata and Acharya, U. Rajendra. 2024. "An automated earthquake classification model based on a new butterfly pattern using seismic signals." Expert Systems with Applications. 238 (Part D). https://doi.org/10.1016/j.eswa.2023.122079
Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir, Acharya, U. Rajendra and Mir, Hasan. 2024. "Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation." IEEE Access. 12, pp. 840-867. https://doi.org/10.1109/ACCESS.2023.3347587
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals
Kumar, Kamlesh, Kumar, Prince, Patel, Ruchit K., Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2024. "Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals." IEEE Latin America Transactions (IEEE America Latina. Revista). 22 (3), pp. 186-194. https://doi.org/10.1109/TLA.2024.10431420
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Kilic, Mehmet, Barua, Prabal Datta, Keles, Tugce, Yildiz, Arif Metehan, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Kuluozturk, Mutlu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds." Engineering Applications of Artificial Intelligence. 127 (Part A). https://doi.org/10.1016/j.engappai.2023.107184
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Jafari, Mahboobeh, Sadeghi, Delaram, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Beheshti, Amin, García, David, Chen, Zhaolin, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023." Applied Intelligence. 54 (1), pp. 35-79. https://doi.org/10.1007/s10489-023-05155-6
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges
Joloudari, Javad Hassannataj, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Kabir, H. M. Dipu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges ." Multimedia Tools and Applications. 83 (26), pp. 67953-67996. https://doi.org/10.1007/s11042-024-18123-0
Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images
Gudigar,Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Inamdar, Mahesh Anil, Prabhu, Mukund A. . and Acharya, U. Rajendra. 2024. "Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images." IEEE Access. 12, pp. 3659-3671. https://doi.org/10.1109/ACCESS.2023.3349090
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra. 2024. "Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model." Engineering Applications of Artificial Intelligence. 132. https://doi.org/10.1016/j.engappai.2024.107918
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Fallahpoor, Maryam, Chakraborty, Subrata, Pradhan, Biswajeet, Faust, Oliver, Barua, Prabal Datta, Chegeni, Hossein and Acharya, Rajendra. 2024. "Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space." Computer Methods and Programs in Biomedicine. 243. https://doi.org/10.1016/j.cmpb.2023.107880
Novel tiny textural motif pattern-based RNA virus protein sequence classification model
Erten, Mehmet, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2024. "Novel tiny textural motif pattern-based RNA virus protein sequence classification model." Expert Systems with Applications. 242. https://doi.org/10.1016/j.eswa.2023.122781
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
El-Dahshan, El-Sayed A., Bassiouni, Mahmoud M., Khare, Smith K., Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals." Expert Systems with Applications. 239. https://doi.org/10.1016/j.eswa.2023.122388
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy
Dsilva, Liora Rosvin, Tantri, Shivani Harish, Sampathila, Niranjana, Mayrose, Hilda, Bairy, G. Muralidhar, Belurkar, Sushma, Saravu, Kavitha, Chadaga, Krishnaraj and Hafeez-Baig, Abdul. 2024. "Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy." International Journal of Imaging Systems and Technology. 34 (1). https://doi.org/10.1002/ima.23020
MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201
Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201." Multimedia Tools and Applications. 83 (30), pp. 75061-75083. https://doi.org/10.1007/s11042-024-18416-4
Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique
Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2024. "Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique ." Soft Computing. https://doi.org/10.1007/s00500-024-09647-6
Automated anxiety detection using probabilistic binary pattern with ECG signals
Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Hong, Tan Jen, March, Sonja, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automated anxiety detection using probabilistic binary pattern with ECG signals." Computer Methods and Programs in Biomedicine. 247. https://doi.org/10.1016/j.cmpb.2024.108076
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection
Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Aghaei, Leyla, Mirjalili, Seyedali, Khosravi, Abbas, García, Salvador, Karray, Fakhri and Acharya, U. Rajendra. 2024. "Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection." Applied Soft Computing. 151. https://doi.org/10.1016/j.asoc.2023.111141
AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies
Ardakani, Ali Abbasian, Mohammadi, Afshin, Vogl, Thomas J., Kuzan, Taha Yusuf and Acharya, U Rajendra. 2024. "AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies." Journal of Clinical Ultrasound. 52 (2), pp. 131-143. https://doi.org/10.1002/jcu.23607
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model
Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Tasci, Burak, Tasci, Gulay, Ayyildiz, Hakan, Kamath, Aditya P., Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J., Chakraborty, Subrata . and Acharya, U. Rajendra. 2024. "Automated schizophrenia detection model using blood sample scattergram images and local binary pattern." Multimedia Tools and Applications. 83 (14), p. 42735–42763. https://doi.org/10.1007/s11042-023-16676-0
Teachers' Educational Experiences and Preparedness in Teaching Students with Autism
Barua, Prabal Datta, Devi, Aruna, Palmer, Elizabeth Emma and Ganguly, Rahul. 2024. "Teachers' Educational Experiences and Preparedness in Teaching Students with Autism." The Asia-Pacific Education Researcher. 33 (1), pp. 71-81. https://doi.org/10.1007/s40299-022-00709-7
Internet governance and cyber-security: a systematic literature review
Yusif, Salifu, Hafeez-Baig, Abdul and Anachanser, Charles. 2024. "Internet governance and cyber-security: a systematic literature review." Information Security Journal: a Global Perspective. 33 (2), pp. 158-171. https://doi.org/10.1080/19393555.2023.2268608
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection
Kobat, Mehmet Ali, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Kivrak, Tarik, Akin, Yusuf, Bairy, G. Muralidhar, Tan, Ru‑San and Acharya, U. Rajendra. 2024. "Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection." Multimedia Tools and Applications. 83 (12), pp. 35957-35977. https://doi.org/10.1007/s11042-023-16697-9
Novel automated detection of sports activities using shadow videos
Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2024. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. 83 (15), pp. 44933-44954. https://doi.org/10.1007/s11042-023-17407-1
ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images
Barua, Prabal Datta, Kirik, Serkan, Dogan, Sengul, Koc, Canan, Ozkaynak, Fatih, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. 83 (13), pp. 39823-39840. https://doi.org/10.1007/s11042-023-17057-3
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121314
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features
Sharma, Manish, Bhurane,Ankit A. and Acharya, U. Rajendra. 2024. "An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12939
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Khare, Smith K., Blanes-Vidal, Victoria, Nadimi, Esmaeil S. and Acharya, U. Rajendra. 2024. "Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102019
Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique
Aksalli, Isil Karabey, Baygin, Nursena, Hagiwara, Yuki, Paul, Jose Kunnel, Iype, Thomas, Barua, Prabal Datta, Koh, Joel E. W., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2024. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. 18 (1), pp. 283-404. https://doi.org/10.1007/s11571-023-10005-9
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2024. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. 18 (1), pp. 1-22. https://doi.org/10.1007/s11571-022-09904-0
Deep Image Analysis for Microalgae Identification
Soar, Jeffrey, Lih, Oh Shu, Wen, Loh Hui, Ward, Aleth, Sharma, Ekta, Deo, Ravinesh C., Barua, Prabal Datta, Tan, Ru-San, Rinen, Eliezer and Acharya, Rajendra. 2023. "Deep Image Analysis for Microalgae Identification." Lecture notes in computer science. Switzerland . Springer. pp. 280-292
A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet
Reza, Md Tanzim, Dipto, Shakib Mahmud, Parvez, Mohammad Zavid, Barua, Prabal Datta and Chakraborty, Subrata. 2023. "A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet." 2023 International Conference on Advances in Computing Research (ACR’23). Orlando, United States 08 - 10 May 2023 Switzerland. https://doi.org/10.1007/978-3-031-33743-7_21
CNN-Based Handwriting Analysis for the Prediction of Autism Spectrum Disorder
Nawer, Nafisa, Parvez, Mohammad Zavid, Hossain, Muhammad Iqbal, Barua, Prabal Datta, Rahim, Mia and Chakraborty, Subrata. 2023. "CNN-Based Handwriting Analysis for the Prediction of Autism Spectrum Disorder." Second International Conference on Innovations in Computing Research (ICR’23). Madrid, Spain 04 - 06 Sep 2023 Switzerland . https://doi.org/10.1007/978-3-031-35308-6_14
A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation
Sathi, Nusrat, Shahid, Zakia, Chowdhury, Fahim, Ahmed, Sajjad, Parvez, Mohammad Zavid, Barua, Prabal Datta and Chakraborty, Subrata. 2023. "A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation." 2023 International Conference on Advances in Computing Research (ACR’23). Orlando, United States 08 - 10 May 2023 Switzerland. https://doi.org/10.1007/978-3-031-33743-7_18
An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer
Dipto, Shakib Mahmud, Reza, Md Tanzim, Rahman, Md Nowroz Junaed, Parvez, Mohammad Zavid, Barua, Prabal Datta and Chakraborty, Subrata. 2023. "An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer." Second International Conference on Innovations in Computing Research (ICR’23). Madrid, Spain 04 - 06 Sep 2023 Spain. https://doi.org/10.1007/978-3-031-35308-6_26
FF-BTP Model for Novel Sound-Based Community Emotion Detection
Yildiz, Arif Metehan, Tanabe, Masayuki, Kobayashi, Makiko, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FF-BTP Model for Novel Sound-Based Community Emotion Detection." IEEE Access. 11, pp. 108705-108715. https://doi.org/10.1109/ACCESS.2023.3318751
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Seoni, Silvia, Jahmunah, Vicnesh, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2023. "Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107441
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
Oei, Chien Wei, Ng, Eddie Yin Kwee, Shan, Matthew Hok, Tan, Ru-San, Chan, Yam Meng, Chan, Lai Gwen and Acharya, Udyavara Rajendra. 2023. "Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients." Sensors. 23 (18). https://doi.org/10.3390/s23187946
Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination
Khorshidi, Hamid, Mohammadi, Afshin, Yousem, David M., Abolghasemi, Jamileh, Ansari, Golnoosh, Mirza-Aghazadeh-Attari, Mohammad, Acharya, U Rajendra and Ardakani, Ali Abbasian. 2023. "Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination." Informatics in Medicine Unlocked. 41. https://doi.org/10.1016/j.imu.2023.101314
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Hossain, Elias, Rana, Rajib, Higgins, Niall, Soar, Jeffrey, Barua, Prabal Datta, Pisani, Anthony R. and Turner, Kathryn. 2023. "Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106649
Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal
Barua, Prabal Datta, Kobayashi, Makiko, Tanabe, Masayuki, Baygin, Mehmet, Paul, Jose Kunnel, Iype, Thomas, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal." IEEE Access. 11, pp. 101359-101372. https://doi.org/10.1109/ACCESS.2023.3315149
A novel tree pattern-based violence detection model using audio signals
Yildiz, Arif Metehan, Barua, Prabal D., Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ooi, Chui Ping, Fujita, Hamido and Acharya, U. Rajendra. 2023. "A novel tree pattern-based violence detection model using audio signals." Expert Systems with Applications. 224. https://doi.org/10.1016/j.eswa.2023.120031
Application of novel DIRF feature selection algorithm for automated brain disease detection
Yaman, Süleyman, Ünlü, Elif Işılay, Güler, Hasan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "Application of novel DIRF feature selection algorithm for automated brain disease detection." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.105006
Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)
Yaacob, Hamwira, Hossain, Farhad, Shari, Sharunizam, Khare, Smith K., Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)." IEEE Access. 11, pp. 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)
Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746
Multi-objective squirrel search algorithm for EEG feature selection
Wang, Chao, Li, Songjie, Shi, Miao, Zhao, Jie, Wen, Tao Wen, Acharya, U. Rajendra, Xie, Neng-gang and Cheong, Kang Hao. 2023. "Multi-objective squirrel search algorithm for EEG feature selection." Journal of Computational Science. 73. https://doi.org/10.1016/j.jocs.2023.102140
Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids
Tripathi, Aditya, Kumar, Preetham, Tulsani, Akshat, Chakrapani, Pavithra Kodiyalbail, Maiya, Geetha, Bhandary, Sulatha V., Mayya, Veena, Pathan, Sameena, Achar, Raghavendra and Acharya, U. Rajendra. 2023. "Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids." Diagnostics. 13 (15). https://doi.org/10.3390/diagnostics13152550
Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds
Topaloglu, Ihsan, Barua, Prabal Datta, Yildiz, Arif Metehan, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Gul, Huseyin Fatih, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds." Engineering Applications of Artificial Intelligence. 126. https://doi.org/10.1016/j.engappai.2023.106887
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
Tasci, Irem, Tasci, Burak, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Emmanuel, Elizabeth Emma, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals." Information Fusion. 96, pp. 252-268. https://doi.org/10.1016/j.inffus.2023.03.022
Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals
Tasci, Gulay, Loh, Hui Wen, Barua, Prabal Datta, Baygin, Mehmet, Tasci, Burak, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals." Knowledge-Based Systems. 260. https://doi.org/10.1016/j.knosys.2022.110190
QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals
Tasci, Gulay, Gun, Mehmet Veysel, Keles, Tugce, Tasci, Burak Tasci, Barua, Prabal Datta, Tasci, Irem, Dogan, Sengul, Baygin, Mehmet, Palmer, Elizabeth Emma, Tuncer, Turker, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals." Chaos, Solitons and Fractals. 172. https://doi.org/10.1016/j.chaos.2023.113472
Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images
Sut, Suat Kamil, Koc, Mustafa, Zorlu, Gokhan, Serhatlioglu, Ihsan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru‑San and Acharya, U. Rajendra. 2023. "Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images." Journal of Digital Imaging. 36 (3), pp. 879-892. https://doi.org/10.1007/s10278-022-00759-9
Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6
Automated detection of scaphoid fractures using deep neural networks in radiographs
Singh, Amanpreet, Ardakani, Ali Abbasian, Loh, Hui Wen, Anamika, P.V., Acharya, U. Rajendra, Kamath, Sidharth and Bhat, Anil K.. 2023. "Automated detection of scaphoid fractures using deep neural networks in radiographs." Engineering Applications of Artificial Intelligence. 122. https://doi.org/10.1016/j.engappai.2023.106165
NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Shuvo, Samiul Based, Alam, Syed Samiul, Ayman, Syeda Umme, Chakma, Arbil, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals." Biomedical Signal Processing and Control. 86 (Part C). https://doi.org/10.1016/j.bspc.2023.105272
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Ling, Sai Ho, Khosravi, Abbas, Alinejad-Rokny, Hamid, Lam, H.K., Fuller-Tyszkiewicz, Matthew D., Acharya, U. Rajendra, Anderson, Donovan, Zhang, Yudong and Gorriz, Juan Manuel. 2023. "Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review." Information Fusion. 93, pp. 85-117. https://doi.org/10.1016/j.inffus.2022.12.010
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali and Acharya, U. Rajendra. 2023. "Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression." Cognitive Neurodynamics. 17 (6), p. 1501–152. https://doi.org/10.1007/s11571-022-09897-w
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)
Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536
CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals
Sharma, Manish, Verma, Sarv, Anand, Divyansh, Gadre, Gadre and Acharya, U. Rajendra. 2023. "CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107259
Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment
Sharma, Manish, Patel, Sohamkumar and Acharya, U. Rajendra. 2023. "Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12903
Automated detection of schizophrenia using deep learning: a review for the last decade
Sharma, Manish, Patel, Ruchit Kumar, Garg, Akshat, Tan, Ru San and Acharya, U Rajendra. 2023. "Automated detection of schizophrenia using deep learning: a review for the last decade." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb24d
A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
Sharma, Manish, Makwana, Paresh, Chad, Rajesh Singh and Acharya, U Rajend. 2023. "A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank." Applied Intelligence. 53 (15), pp. 18681-18699. https://doi.org/10.1007/s10489-022-04432-0
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals
Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Sampathila, Niranjana, Swathi, K. S. and Acharya, U. Rajendra. 2023. "Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals." IEEE Access. 11, pp. 50946-50961. https://doi.org/10.1109/ACCESS.2023.3278800
Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges
Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Elphick, Heather and Acharya, U. Rajendra. 2023. "Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges." Computer Methods and Programs in Biomedicine. 235. https://doi.org/10.1016/j.cmpb.2023.107471
Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals
Sharma, Manish, Anand, Divyansh, Verma, Sarv and Acharya, U. Rajendra. 2023. "Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals." Engineering Applications of Artificial Intelligence. 126 (Part C). https://doi.org/10.1016/j.engappai.2023.106903
PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals
Sahin, Sakir Engin, Gulhan, Gokhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Faust, Oliver and Acharya, U. Rajendra. 2023. "PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals." Expert Systems: the journal of knowledge engineering. 40 (8). https://doi.org/10.1111/exsy.13312
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
Raghavendra, U., Gudigar, Anjan, Paul, Aritra, Goutham, T.S., Inamdar, Mahesh Anil, Hegde, Ajay, Dev, Aruna, Ooi, Chui Ping, Deo, Ravinesh C., Barua, Prabal Datta, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives." Computers in Biology and Medicine. 163. https://doi.org/10.1016/j.compbiomed.2023.107063
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals
Raghavendra, U., Gudigar, Anjan, Chakole, Yashas, Kasula, Praneet, Subha, D. P., Kadri, Nahrizul Adib, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12803
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Patro, Kiran Kumar, Allam, Jaya Prakash, Chakravarthy, Bala, Tadeusiewicz, Ryszard, Acharya, U Rajendra, Hammad,Mohamed, Yildirim, Ozal and Pławiak, Paweł. 2023. "Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images." Information Sciences. 640. https://doi.org/10.1016/j.ins.2023.119005
An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
Oztekin, Faruk, Katar, Oguzhan, Sadak, Ferhat, Yildirim, Muhammed, Cakar, Hakan, Aydogan, Murat, Ozpolat, Zeynep, Yildirim, Tuba Talo, Yildirim, Ozal, Faust, Oliver and Acharya, U. Rajendra. 2023. "An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images." Diagnostics. 13 (2). https://doi.org/10.3390/diagnostics13020226
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00224-z
Automated semantic lung segmentation in chest CT images using deep neural network
Murugappan, M., Bourisly, Ali K., Prakash, N. B., Sumithra, M. G. and Acharya, U. Rajendra. 2023. "Automated semantic lung segmentation in chest CT images using deep neural network." Neural Computing and Applications. 35 (21), pp. 15343-15364. https://doi.org/10.1007/s00521-023-08407-1
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Muezzinoglu, Taha, Baygin, Nursena, Tuncer, Ilknur, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth E., Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images." Journal of Digital Imaging. 36 (3), pp. 973-987. https://doi.org/10.1007/s10278-023-00789-x
A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems
Mohan, Neethu, Kumar, S. Sachin, Soman, K. P., Sujadevi, V. G., Poornachandran, Prabaharan and Acharya, Rajendra. 2023. "A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems ." IEEE Access. 11, pp. 39228-39242. https://doi.org/10.1109/ACCESS.2023.3267125
Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study
Mohammadi, Afshin, Torres-Cuenca, Thomas, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2023. "Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study." Journal of Ultrasound in Medicine. 42 (10), pp. 2257-2268. https://doi.org/10.1002/jum.16244
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images
Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Surya, Divyalakshmi Kaiyoor and Acharya, U Rajendra. 2023. "An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images." Applied Intelligence. 53 (2), pp. 1548-1566. https://doi.org/10.1007/s10489-022-03490-8
Deep neural network technique for automated detection of ADHD and CD using ECG signal
Loh, Hui Wen, Ooi, Chui Pin, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2023. "Deep neural network technique for automated detection of ADHD and CD using ECG signal." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107775
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
Oh, Shu Lih, Jahmunah, V., Emmanuel, Elizabeth Emma, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2023. "EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107312
Automated Schizophrenia detection using local descriptors with EEG signals
Kumar, T. Sunil, Rajesh, Kandala N.V.P.S., Maheswari, Shishir, Kanhangad, Vivek and Acharya, U. Rajendra. 2023. "Automated Schizophrenia detection using local descriptors with EEG signals." Engineering Applications of Artificial Intelligence. 117 (Part A). https://doi.org/10.1016/j.engappai.2022.105602
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals
Kumar, Kamlesh, Gupta, Kapil, Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2023. "INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals." Medical Engineering and Physics. 119. https://doi.org/10.1016/j.medengphy.2023.104028
FGPat18: Feynman graph pattern-based language detection model using EEG signals
Kirik, Serkan, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Demir, Caner Feyzi, Keles, Tugce, Yildiz, Arif Metehan, Baygin, Nursena, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FGPat18: Feynman graph pattern-based language detection model using EEG signals." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.104927
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease
Khozeimeh, Fahime, Alizadehsani, Roohallah, Shirani, Milad, Tartibi, Mehrzad, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Harlapur, Chandrashekhar, Sultanzadeh, Sayed Javed, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru-San and Acharya, U. Rajendra. 2023. "ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease." Computers in Biology and Medicine. 158. https://doi.org/10.1016/j.compbiomed.2023.106841
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Khare, Smith K., March, Sonja, Barua, Prabal Datta, Gadre, Vikram M. and Acharya, U. Rajendra. 2023. "Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade." Information Fusion. 99. https://doi.org/10.1016/j.inffus.2023.101898
SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Khare, Smith K, Bajaj, Varun and Acharya, U Rajendra. 2023. "SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acbc06
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
Khare, Smith K. and Acharya, U. Rajendra. 2023. "An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106676
Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals
Khare, Smith K and Acharya, U. Rajendra. 2023. "Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals." Knowledge-Based Systems. 278. https://doi.org/10.1016/j.knosys.2023.110858
Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Khalili, Hosseinali, Rismani, Maziyar, Nematollahi, Mohammad Ali, Masoudi, Mohammad Sadegh, Asadollahi, Arefeh, Taheri, Reza, Pourmontaseri, Hossein, Valibeygi, Adib, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Niakan, Amin, Andishgar, Aref, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2023. "Prognosis prediction in traumatic brain injury patients using machine learning algorithms." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-28188-w
SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation
Karri, Meghana, Annvarapu, Chandra Sekhara Rao and Acharya, U Rajendra. 2023. "SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation." Applied Intelligence. 53 (12), pp. 15407-15423. https://doi.org/10.1007/s10489-022-04209-5
Skin lesion segmentation using two-phase cross-domain transfer learning framework
Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2023. "Skin lesion segmentation using two-phase cross-domain transfer learning framework." Computer Methods and Programs in Biomedicine. 231. https://doi.org/10.1016/j.cmpb.2023.107408
PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI
Kaplan, Ela, Chan, Wai Yee, Altinsoy, Hasan Baki, Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI." Journal of Digital Imaging. 23, p. 2441–2460. https://doi.org/10.1007/s10278-023-00889-8
ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images
Kaplan, Ela, Baygin, Mehmet, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Altunisik, Erman, Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2023. "ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images." Medical Engineering and Physics. 115. https://doi.org/10.1016/j.medengphy.2023.103971
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)
Jui, S. Janifer Jabin, Deo, Ravinesh C. Deo, Barua, Prabal Datta, Devi, Aruna, Soar, Jeffrey and Acharya, U. Rajendra. 2023. "Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)." IEEE Access. 11, pp. 71905-71924. https://doi.org/10.1109/ACCESS.2023.3294473
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U. Rajendra. 2023. "Uncertainty quantification in DenseNet model using myocardial infarction ECG signals." Computer Methods and Programs in Biomedicine. 229. https://doi.org/10.1016/j.cmpb.2022.107308
Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review
Jahmunah, V., Koh, Joel En Wei, Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Oh, Shu Lih, Loh, Hui Wen, Faust, Oliver, Barua, Prabal Datta, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review." Biocybernetics and Biomedical Engineering. 43 (1), pp. 82-108. https://doi.org/10.1016/j.bbe.2022.12.002
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network
Jahmunah, V., Chen, Sylvia, Oh, Shu Lih, Acharya, U. Rajendra and Chowbay, Balram. 2023. "Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network." Computers in Biology and Medicine. 153. https://doi.org/10.1016/j.compbiomed.2023.106548
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Khosravi, Abbas, Ling, SaiHo, Delfan, Niloufar, Zhang, Yu-Dong, Wang, Shuihua, Gorriz, Juan M., Alinejad-Rokny, Hamid and Acharya, U. Rajendra. 2023. "Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.106998
Emotion recognition in EEG signals using deep learning methods: A review
Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Bagherzadeh, Sara, Shalbaf, Ahmad, García, David López, Gorriz, Juan M. and Acharya, U. Rajendra. 2023. "Emotion recognition in EEG signals using deep learning methods: A review." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107450
Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models
Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Loh, Hui Wen, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models." Sensors. 23 (14). https://doi.org/10.3390/s23146585
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
Gudigar, Anjan, Raghavendra, U., Rao, Tejaswi N., Samanth, Jyothi, Rajinikanth, Venkatesan, Satapathy, Suresh Chandra, Ciaccio, E., Chan, Chan Wai and Acharya, U. Rajendra. 2023. "FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas." International Journal of Imaging Systems and Technology. 33 (2), pp. 483-494. https://doi.org/10.1002/ima.22820
Most complicated lock pattern-based seismological signal framework for automated earthquake detection
Gokhan, Suat Gokhan, Baygin, Nursena, Barua, Prabal D., Singh, Arvind R., Bajaj, Mohit, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Most complicated lock pattern-based seismological signal framework for automated earthquake detection." International Journal of Applied Earth Observation and Geoinformation. 118. https://doi.org/10.1016/j.jag.2023.103297
Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization
Kilincer, Ilhan Firat, Ertam, Fatih, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization." Biocybernetics and Biomedical Engineering. 43 (1), pp. 30-41. https://doi.org/10.1016/j.bbe.2022.11.005
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction
Erten, Mehmet, Tuncer, Ilknur, Barua, Prabal D., Yildirim, Kubra, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction." Journal of Digital Imaging. 36 (4), pp. 1675-1686. https://doi.org/10.1007/s10278-023-00827-8
Swin-LBP: a competitive feature engineering model for urine sediment classification
Erten, Mehmet, Barua, Praba Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Swin-LBP: a competitive feature engineering model for urine sediment classification." Neural Computing and Applications. 35 (29), pp. 21621-21632. https://doi.org/10.1007/s00521-023-08919-w
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images
Erdem, Kenan, Kobat, Mehmet Ali, Bilen, Mehmet Nail, Balik, Yunus, Alkan, Sevim, Cavlak, Feyzanur, Poyraz, Ahmet Kursad, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Erten, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images." International Journal of Imaging Systems and Technology. 33 (4), pp. 1144-1159. https://doi.org/10.1002/ima.22914
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
Dogan, Sengul, Baygin, Mehmet, Tasci, Burak, Loh, Hui Wen, Barua, Prabal D., Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals." Cognitive Neurodynamics. 17 (3), pp. 647-659. https://doi.org/10.1007/s11571-022-09859-2
An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels
Dakhale, Bharti Jogi, Sharma, Manish, Arif, Mohammad, Asthana, Kushagra, Bhurane, Ankit A., Kothari, Ashwin G. and Acharya, U. Rajendra. 2023. "An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels." Medical Engineering and Physics. 112. https://doi.org/10.1016/j.medengphy.2023.103956
Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
Chadaga, Krishnaraj, Prabhu, Srikanth, Sampathila, Niranjana, Nireshwalya, Sumith, Katta, Swathi S., Tan, Ru-San and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review." Diagnostics. 13 (5). https://doi.org/10.3390/diagnostics13050824
Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals
Baygin, Nursena, Aydemir, Emrah, Barua, Prabal D., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, Rajendra. 2023. "Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals." Expert Systems with Applications. 227. https://doi.org/10.1016/j.eswa.2023.120306
Automated facial expression recognition using exemplar hybrid deep feature generation technique
Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "Automated facial expression recognition using exemplar hybrid deep feature generation technique." Soft Computing. 27 (13), pp. 8721-8737. https://doi.org/10.1007/s00500-023-08230-9
CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals
Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Tuncer, Ilknur, Dogan, Sengul, Palmer, Elizabeth, Tuncer, Turker, Kamath, Aditya, Ciaccio, Edward J and Acharya, U Rajendra. 2023. "CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals ." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb03c
NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers
Barua, Prabal Datta, Dogan, Sengul, Kavuran, Gurkan, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers." Neural Computing and Applications. 35 (30), pp. 22253-22263. https://doi.org/10.1007/s00521-023-08825-1
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals
Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Kobat, Mehmet Ali, Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Turker, Oh, Shu Lih, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals." International Journal of Machine Learning and Cybernetics. 14 (5), pp. 1651-1668. https://doi.org/10.1007/s13042-022-01718-0
Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels
Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Erten, Mehmet, Kaysi, Feyzi, Tuncer, Turker, Fujita, Hamido, Palmer, Elizabeth and Acharya, U Rajendra. 2023. "Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels." Neural Computing and Applications. 35 (8), pp. 6065-6077. https://doi.org/10.1007/s00521-022-07999-4
LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals
Atila, Orhan, Deniz, Erkan, Ari, Ali, Sengur, Abdulkadir, Chakraborty, Subrata, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals." Sensors. 23 (16). https://doi.org/10.3390/s23167032
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis
Ardakani, Ali Abbasian, Mohammadi, Afshin, Faeghi, Fariborz and Acharya, U. Rajendra. 2023. "Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis." International Journal of Imaging Systems and Technology. 33 (2), pp. 445-464. https://doi.org/10.1002/ima.22843
Swarm Intelligence in Internet of Medical Things: A Review
Alizadehsani, Roohallah, Roshanzamir, Mohamad, Izadi, Navid Hoseini, Gravina, Raffaele, Kabir, H. M. Dipu, Nahavandi, Darius, Alinejad-Rokny, Hamid, Khosravi, Abbas, Acharya, U. Rajendra, Nahavandi, Saeid and Fortino, Giancarlo. 2023. "Swarm Intelligence in Internet of Medical Things: A Review." Sensors. 23 (3). https://doi.org/10.3390/s23031466
Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques
Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques." Expert Systems with Applications. 225. https://doi.org/10.1016/j.eswa.2023.120089
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection
Abdar, Moloud, Salari, Soorena, Qahremani, Sina, Lam, Hak-Keung, Karray, Fakhri, Hussain, Sadiq, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2023. "UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection." Information Fusion. 90, pp. 364-381. https://doi.org/10.1016/j.inffus.2022.09.023
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm
Abdar, Moloud, Mehrzadi, Arash, Goudarzi, Milad, Masoudkabir, Farzad, Rundo, Leonardo, Mamouei, Mohammad, Sala, Evis, Khosravi, Abbas, Makarenkov, Vladimir, Acharya, U. Rajendra, Saadatagah, Seyedmohammad, Naderian, Mohammadreza, García, Salvador, Sarrafzadegan, Nizal and Nahavandi, Saeid. 2023. "Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm." Information Fusion. 97. https://doi.org/10.1016/j.inffus.2023.101813
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification
Abdar, Moloud, Fahami, Mohammad Amin, Rundo, Leonardo, Radeva, Petia, Frangi, Alejandro F., Acharya, U. Rajendra, Khosravi, Abbas, Lam, Hak-Keung, Jung, Alexander and Nahavandi, Saeid. 2023. "Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification." IEEE Transactions on Industrial Informatics. 19 (1), pp. 274-285. https://doi.org/10.1109/TII.2022.3168887
Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models
Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Vogl, Thomas J. and Acharya, U. Rajendra. 2023. "Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models." Journal of Ultrasound in Medicine. 42 (6), pp. 1211-1221. https://doi.org/10.1002/jum.16131
An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies
Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad and Acharya, U. Rajendra. 2023. "An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies." Computers in Biology and Medicine. 152. https://doi.org/10.1016/j.compbiomed.2022.106438
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
WeiKoh, Joel En, Rajinikanth, Venkatesan, Vicnesh, Jahmunah, Pham, The-Hanh, Oh, Shu Lih, Yeong, Chai Hong, Sankaranarayanan, Meena, Kamath, Aditya, Bairy, Giliyar Muralidhar, Barua, Prabal Datta and Cheong, Kang Hao. 2024. "Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12957
A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal
Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Key, Sefa, Acharya, U. Rajendra and Cheong, Kang Hao. 2022. "A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal." Sensors. 22 (5). https://doi.org/10.3390/s22052007
Mental performance classification using fused multilevel feature generation with EEG signals
Aydemir, Emrah, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Chakraborty, Subrata, Faust, Oliver, Arunkumar, N., Kaysi, Feyzi and Acharya, U. Rajendra. 2023. "Mental performance classification using fused multilevel feature generation with EEG signals." International Journal of Healthcare Management. 16 (4), pp. 574-587. https://doi.org/10.1080/20479700.2022.2130645
Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts
Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Chakraborty, Subrata, Ciaccio, Edward J., Tuncer, Turker, Kadir, Khairul Azmi Abd, Shah, Mohammad Nazri Md, Azman, Raja Rizal, Lee, Chin Chew, Ng, Kwan Hoong and Acharya, U. Rajendra. 2022. "Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts." Biocybernetics and Biomedical Engineering. 42 (3), pp. 815-828. https://doi.org/10.1016/j.bbe.2022.06.004
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
Gudigar, Anjan, U., Raghavendra, Samanth, Jyothi, Vasudeva, Akhila, A. J., Ashwal, Nayak, Krishnananda, Tan, Ru-San, Ciaccio, Edward J., Ooi, Chui Ping, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding." Informatics. 9 (2). https://doi.org/10.3390/informatics9020034
Heart rate variability for medical decision support systems: A review
Faust, Oliver, Hong, Wanrong, Loh, Hui Wen, Xu, Shuting, Tan, Ru-San, Chakraborty, Subrata, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Heart rate variability for medical decision support systems: A review." Computers in Biology and Medicine. 145. https://doi.org/10.1016/j.compbiomed.2022.105407
Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences
Erten, Mehmet, Acharya, Madhav R., Kamath, Aditya P., Sampathila, Niranjana, Bairy, G. Muralidhar, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul and Tuncer, Turker. 2022. "Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences." Diagnostics. 12 (12). https://doi.org/10.3390/diagnostics12123181
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images
Baygin, Mehmet, Yaman, Orhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images." Artificial Intelligence in Medicine. 127. https://doi.org/10.1016/j.artmed.2022.102274
DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals
Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals." Expert Systems with Applications. 193, pp. 1-10. https://doi.org/10.1016/j.eswa.2021.116447
Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images
Kobat, Sabiha Gungor, Baygin, Nursena, Yusufoglu, Elif, Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Yaman, Orhan, Celiker, Ulku, Yildirim, Hakan, Tan, Ru-San, Tuncer, Turker, Islam, Nazrul and Acharya, U. Rajendra. 2022. "Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images." Diagnostics. 12 (8). https://doi.org/10.3390/diagnostics12081975
Automated detection of ADHD: Current trends and future perspective
Loh, Hui Wen, Ooi, Chui Ping, Barua, Prabal Datta, Palmer, Elizabeth E., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Automated detection of ADHD: Current trends and future perspective." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105525
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds
Barua, Prabal Datta, Karasu, Mehdi, Kobat, Mehmet Ali, Balik, Yunus, Kivrak, Tarik, Baygin, Mehmet, Dogan, Sengul, Demir, Fahrettin Burak, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds." Computers in Biology and Medicine. 146, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2022.105599
A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset
Tasci, Burak, Acharya, Madhav R., Barua, Prabal Datta, Yildiz, Arif Metehan, Gun, Mehmet Veysel, Keles, Tugce, Dogan, Sengul and Tuncer, Turker. 2022. "A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset." Applied Acoustics. 196. https://doi.org/10.1016/j.apacoust.2022.108897
CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals
Aydemir, Emrah, Dogan, Sengul, Baygin, Mehmet, Ooi, Chui Ping, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2022. "CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals." Healthcare. 10 (4), pp. 1-18. https://doi.org/10.3390/healthcare10040643
Application of photoplethysmography signals for healthcare systems: An in-depth review
Loh, Hui Wen, Xu, Shuting, Faust, Oliver, Ooi, Chui Ping, Barua, Prabal Datta, Chakraborty, Subrata, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of photoplethysmography signals for healthcare systems: An in-depth review." Computer Methods and Programs in Biomedicine. 216, pp. 1-14. https://doi.org/10.1016/j.cmpb.2022.106677
EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals
Tanko, Dahiru, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals." Physiological Measurement. 43 (3), pp. 1-13. https://doi.org/10.1088/1361-6579/ac59dc
An accurate automated speaker counting architecture based on James Webb Pattern
Barua, Prabal Datta, Yildiz, Arif Metehan, Canpolat, Nida, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "An accurate automated speaker counting architecture based on James Webb Pattern ." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2023.105821
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images
Faust, Oliver, De Michele, Simona, Koh, Joel E. W., Jahmunah, V., Lih, Oh Shu, Kamath, Aditya P., Barua, Prabal Datta, Ciaccio, Edward J., Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2023. "Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images." Computer Methods and Programs in Biomedicine. 230. https://doi.org/10.1016/j.cmpb.2022.107320
Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography
Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Yeong, Chai Hong and Acharya, U. Rajendra. 2023. "Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography." Informatics in Medicine Unlocked. 36. https://doi.org/10.1016/j.imu.2022.101158
Role of Artificial Intelligence in COVID-19 Detection
Gudigar, Anjan, Raghavendra, U., Nayak, Sneha, Ooi, Chui Ping, Chan, Wai Yee, Gangavarapu, Mokshagna Rohit, Dharmik, Chinmay, Samanth, Jyothi, Kadri, Nahrizul Adib, Hasikin, Khairunnisa, Barua, Prabal Datta, Chakraborty, Subrata, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Role of Artificial Intelligence in COVID-19 Detection." Sensors. 21 (23). https://doi.org/10.3390/s21238045
A new one-dimensional testosterone pattern-based EEG sentence classification method
Keles, Tugce, Yildiz, Arif Metehan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "A new one-dimensional testosterone pattern-based EEG sentence classification method." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2022.105722
Automated accurate fire detection system using ensemble pretrained residual network
Dogan, Sengul, Barua, Prabal Datta, Kutlu, Huseyin, Baygin, Mehmet, Fujita, Hamido, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Automated accurate fire detection system using ensemble pretrained residual network." Expert Systems with Applications. 203. https://doi.org/10.1016/j.eswa.2022.117407
Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images
Kaplan, Ela, Chan, Wai Yee, Dogan, Sengul, Barua, Prabal D., Bulut, Haci Taner, Tuncer, Turker, Cizik, Mert, Tan, Ru-San and Acharya, U Rajendra. 2022. "Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images." Medical Engineering and Physics. 108. https://doi.org/10.1016/j.medengphy.2022.103895
L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets
Barua, Prabal Datta, Tuncer, Ilknur, Aydemir, Emrah, Faust, Oliver, Chakraborty, Subrata, Subbhuraam, Vinithasree, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102510
A review of automated sleep disorder detection
Xu, Shuting, Faust, Oliver, Seoni, Silvia, Chakraborty, Subrata, Barua, Prabal Datta, Loh, Hui Wen, Elphick, Heather, Molinari, Filippo and Acharya, U. Rajendra. 2022. "A review of automated sleep disorder detection." Computers in Biology and Medicine. 150. https://doi.org/10.1016/j.compbiomed.2022.106100
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Loh, Hui Wen, Ooi, Chui Ping, Seoni, Silvia, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)." Computer Methods and Programs in Biomedicine. 226. https://doi.org/10.1016/j.cmpb.2022.107161
Development of novel automated language classification model using pyramid pattern technique with speech signals
Akbal, Erhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Development of novel automated language classification model using pyramid pattern technique with speech signals." Neural Computing and Applications. 34 (23), pp. 21319-21333. https://doi.org/10.1007/s00521-022-07613-7
Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images
Barua, Prabal Datta, Baygin, Nursena, Dogan, Sengul, Baygin, Mehmet, Arunkumar, N., Fujita, Hamido, Tuncer, Turker, Tan, Ru‑San, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini Bin, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-21380-4
Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database
Barua, Prabal Datta, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Fujita, Hamido, Tan, Ru-San, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database." Biomedical Signal Processing and Control. 79 (Part 1). https://doi.org/10.1016/j.bspc.2022.104055
The potential influence of prior work experience on unfair dismissal arbitration decisions related to employee misconduct: an exploratory study of decision styles
Southey, Kim, Lynch, Bernadette, Rose, Dennis and Hafeez-Baig, Abdul. 2023. "The potential influence of prior work experience on unfair dismissal arbitration decisions related to employee misconduct: an exploratory study of decision styles ." Asia Pacific Journal of Human Resources. 61 (3), pp. 582-612. https://doi.org/10.1111/1744-7941.12366
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485
Historical Virtual Team Learnings and a View to the New Normal Post-COVID-19
Woods, Ashley, Hafeez-Baig, Abdul and McCubbin, Amanda. 2022. "Historical Virtual Team Learnings and a View to the New Normal Post-COVID-19." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022 Sydney, Australia.
FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929
Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images
Kaplan, Ela, Altunisik, Erman, Firat, Yasemin Ekmekyapar, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Demir, Fahrettin Burak, Tuncer, Turker, Palmer, Elizabeth, Tan, Ru-San, Yu, Ping, Soar, Jeffrey, Fujita, Hamido and Acharya, U. Rajendra. 2022. "Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images." Computer Methods and Programs in Biomedicine. 224, pp. 1-11. https://doi.org/10.1016/j.cmpb.2022.107030
Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model
Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070
Talent management as a core source of innovation and social development in higher education
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "Talent management as a core source of innovation and social development in higher education." Parrish, Dominique (ed.) Innovations in higher education: cases on transforming and advancing practice. London, United Kingdom. IntechOpen. pp. 1-31
A novel genetic algorithm based system for the scheduling of medical treatments
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan and Acharya, Udyavara Rajendra. 2022. "A novel genetic algorithm based system for the scheduling of medical treatments." Expert Systems with Applications. 195, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.116464
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Bargshady, Ghazal, Zhou, Xujuan, Barua, Prabal Datta, Gururajan, Raj, Li, Yuefeng and Acharya, U. Rajendra. 2022. "Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images." Pattern Recognition Letters. 153, pp. 67-74. https://doi.org/10.1016/j.patrec.2021.11.020
Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals
Zitouni, M. Sami, Oh, Shu Li, Vicnesh, Jahmunah, Khandoker, Ahsan and Acharya, U. Rajendra. 2022. "Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals." Frontiers in Psychiatry. 13. https://doi.org/10.3389/fpsyt.2022.970993
Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques
Vidhya, V, Raghavendra, U., Gudigar, Anjan, Kasula, Praneet, Chakole, Yashas, Hegde, Ajay, Menon, Girish, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques." Informatics. 9 (1). https://doi.org/10.3390/informatics9010004
Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals
Uyanık, Hakan, Ozcelik, Salih Taha A., Duranay, Zeynep Bala Duranay, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102508
Tetromino pattern based accurate EEG emotion classification model
Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet and Acharya, U. Rajendra. 2022. "Tetromino pattern based accurate EEG emotion classification model." Artificial Intelligence in Medicine. 123. https://doi.org/10.1016/j.artmed.2021.102210
Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques
Tuncer, Turker, Dogan, Sengul, Akbal, Erhan, Cicekli, Abdullah and Acharya, U. Rajendra. 2022. "Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques." Neural Computing and Applications. 34 (6), pp. 4875-4888. https://doi.org/10.1007/s00521-021-06678-0
Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review
Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Vijayananthan, Anushya, Sahathevan, Ramesh and Acharya, U. Rajendra. 2022. "Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review." Biocybernetics and Biomedical Engineering. 42 (3), pp. 888-901. https://doi.org/10.1016/j.bbe.2022.07.001
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection
Sobahi, Nebras, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2022. "Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105335
Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
Sobahi, Nebras, Atila, Orhan, Deniz, Erkan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds." Biocybernetics and Biomedical Engineering. 42 (3), pp. 1066-1080. https://doi.org/10.1016/j.bbe.2022.08.005
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Shoeibi, Afshin, Moridian, Parisa, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Alizadehsani, Roohallah, Kong, Yinan, Gorriz, Juan Manuel, Ramírez, Javier, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 149. https://doi.org/10.1016/j.compbiomed.2022.106053
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Alizadehsani, Roohallah, Zare, Assef, Khosravi, Abbas, Subasi, Abdulhamit, Acharya, U. Rajendra and Gorriz, Juan M.. 2022. "Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies." Biomedical Signal Processing and Control. 73. https://doi.org/10.1016/j.bspc.2021.103417
An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects
Sharma, Manish, Yadav, Anuj, Tiwari, Jainendra, Karabatak, Murat, Yildirim, Ozal and Acharya, U. Rajendra. 2022. "An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects." International Journal of Environmental Research and Public Health. 19 (12). https://doi.org/10.3390/ijerph19127176
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Sharma, Manish, Kumbhani, Divyash, Tiwari, Jainendra, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals." Computers in Biology and Medicine. 144. https://doi.org/10.1016/j.compbiomed.2022.105364
Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends
Sharma, Manish, Kumar, Kamlesh, Kumar, Prince, Tan, Ru-San and Acharya, U Rajendra. 2022. "Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends." Physiological Measurement. 43 (11). https://doi.org/10.1088/1361-6579/ac98f0
Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals
Sharma, Manish, Darji, Jay, Thakrar, Madhav and Acharya, U. Rajendra. 2022. "Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105224
Automated sleep apnea detection in pregnant women using wavelet-based features
Sharma, Manish, Bapodara, Sagar, Tiwari, Jainendra and Acharya, U. Rajendra. 2022. "Automated sleep apnea detection in pregnant women using wavelet-based features." Informatics in Medicine Unlocked. 32. https://doi.org/10.1016/j.imu.2022.101026
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Senousy, Zakaria, Abdelsamea, Mohammed M., Gaber, Mohamed Medhat, Abdar, Moloud, Acharya, U. Rajendra, Khosravi, Abbas and Nahavandi, Saeid. 2022. "MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification." IEEE Transactions on Biomedical Engineering. 69 (2), pp. 818-829. https://doi.org/10.1109/TBME.2021.3107446
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Sadeghi, Delaram, Shoeibi, Afshin, Ghassemi, Navid, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Teshnehlab, Mohammad, Gorriz, Juan M., Khozeimeh, Fahime, Zhang, Yu-Dong, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105554
Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review
Sadak, Omer, Sadak, Ferhat, Yildirim, Ozal, Iverson, Nicole M., Qureshi, Rizwan, Talo, Muhammed, Ooi, Chui Ping, Acharya, U. Rajendra, Gunasekaran, Sundaram and Alam, Tanvir. 2022. "Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review." IEEE Access. 10, pp. 98633-98648. https://doi.org/10.1109/ACCESS.2022.3207207
Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images
Rao, B. Nageswara, Mohanty, Sudhansu, Sen, Kamal, Acharya, U. Rajendra, Cheong, Kang Hao and Sabut, Sukanta. 2022. "Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images." Computational and Mathematical Methods in Medicine. 2022. https://doi.org/10.1155/2022/3560507
Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals
Rajput, Jaypal Singh, Sharma, Manish, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals." International Journal of Environmental Research and Public Health. 19 (7). https://doi.org/10.3390/ijerph19074014
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
Raghavendra, U., Gudigar, Anjan, Rao, Tejaswi N., Rajinikanth, V., Ciaccio, Edward J., Yeong, Chai Hong, Satapathy, S.C., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study." International Journal of Imaging Systems and Technology. 32 (2), pp. 501-516. https://doi.org/10.1002/ima.22646
Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals
Nesaragi, Naimahmed, Sharma, Ashish, Patidar, Shivnarayan and Acharya, U. Rajendra. 2022. "Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103811
Application of artificial intelligence in wearable devices: Opportunities and challenges
Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas and Acharya, U. Rajendra. 2022. "Application of artificial intelligence in wearable devices: Opportunities and challenges." Computer Methods and Programs in Biomedicine. 213. https://doi.org/10.1016/j.cmpb.2021.106541
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network
Murarka, Shruti, Wadichar, Aditya, Bhurane, Ankit, Sharma, Manish and Acharya, U. Rajendra. 2022. "Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105594
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Moridian, Parisa, Ghassemi, Navid, Jafari, Mahboobeh, Salloum-Asfar, Salam, Sadeghi, Delar, Khodatars, Marjane, Shoeibi, Afshin, Khosravi, Abbas, Ling, Sai Ho, Subasi, Abdulhamit, Alizadehsani, Roohallah, Gorriz, Juan M., Abdulla, S.A. and Acharya, U. Rajendra. 2022. "Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review." Frontiers in Molecular Neuroscience. 15. https://doi.org/10.3389/fnmol.2022.999605
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Khanam, Sadia, Sobhaninia, Zahra, Shoeibi, Afshin, Khozeimeh, Fahime, Sani, Zahra Alizadeh, Tan, Ru-San, Khosravi, Abbas, Nahavandi, Saeid, Kadri, Nahrizul Adib, Azizan, Muhammad Mokhzaini, Arunkumar, N. and Acharya, U. Rajendra. 2022. "RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/8733632
Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?
Mohammadi, A., Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Homayoun, Hasan, Abolghasemi, Jamileh, Vogl, Thomas J., Bureau, Nathalie J., Bakhshandeh, Mohsen, Acharya, Rajendra U. and Ardakani, Ali Abbasian. 2022. "Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?" Journal of Ultrasound in Medicine. 41 (12), pp. 3079-3090. https://doi.org/10.1002/jum.16086
Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images
Maithri, M., Balla, Dhanush G., Kumar, Santhosh, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Macherla, Shravya, Vineetha, Ravindranath, Gopalkrishna, Pratibha, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images." Computation. 10 (1). https://doi.org/10.3390/computation10010008
Transfer learning techniques for medical image analysis: A review
Kora, Padmavathi, Ooi, Chui Ping, Faust, Oliver, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Meenakshi, K., Swaraja, K., Plawiak, Pawel and Acharya, U. Rajendra. 2022. "Transfer learning techniques for medical image analysis: A review." Biocybernetics and Biomedical Engineering. 42 (1), pp. 79-107. https://doi.org/10.1016/j.bbe.2021.11.004
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloud, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Tartibi, Mehrzad, Hussain, Sadiq, Sani, Zahra Alizadeh, Khodatars, Marjane, Sadeghi, Delaram, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru‑San, Acharya, U. Rajendra and Islam, Sheikh Mohammed Shariful. 2022. "RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-15374-5
Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells
Karri, M., Annavarapu, Chandra Sekhara Rao, Mallik, Saurav, Zhao, Zhongming and Acharya, U. Rajendra. 2022. "Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells." Biocybernetics and Biomedical Engineering. 42 (3), pp. 797-814. https://doi.org/10.1016/j.bbe.2022.06.003
Explainable multi-module semantic guided attention based network for medical image segmentation
Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2022. "Explainable multi-module semantic guided attention based network for medical image segmentation." Computers in Biology and Medicine. 151 (Part A). https://doi.org/10.1016/j.compbiomed.2022.106231
The internet of medical things and artificial intelligence: trends, challenges, and opportunities
Kakhi, Kourosh, Alizadehsani, Roohallah, Kabir, H.M. Dipu, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "The internet of medical things and artificial intelligence: trends, challenges, and opportunities." Biocybernetics and Biomedical Engineering. 42 (3), pp. 749-771. https://doi.org/10.1016/j.bbe.2022.05.008
Aleatory-aware deep uncertainty quantification for transfer learning
Kabir, H M Dipu, Khanam, Sadia, Khozeimeh, Fahime, Khosravi, Abbas, Mondal, Subrota Kumar, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "Aleatory-aware deep uncertainty quantification for transfer learning." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105246
Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study
Homayoun, Hassan, Chan, Wai Yee, Kuzan, Taha Yusuf, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Mohammadi, Afshin, Vijayananthan, Anushya, Rahmat, Kartini, Leong, Sook Sam, Mirza-Aghazadeh-Attari, Mohammad, Ejtehadifar, Sajjad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study." Biocybernetics and Biomedical Engineering. 42 (3), pp. 921-933. https://doi.org/10.1016/j.bbe.2022.07.004
Application of artificial intelligence techniques for automated detection of myocardial infarction: a review
Joloudari, Javad Hassannataj, Mojrian, Sanaz, Nodehi, Issa, Mashmool, Amir, Zadegan, Zeynab Kiani, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Tamadon, Tahereh, Khosravi, Samiyeh, Kohnehshari, Mitra Akbari, Hassannatajjeloudari, Edris, Sharifrazi, Danial, Mosavi, Amir, Loh, Hui Wen, Tan, Ru-San and Acharya, U Rajendra. 2022. "Application of artificial intelligence techniques for automated detection of myocardial infarction: a review." Physiological Measurement. 43 (8). https://doi.org/10.1088/1361-6579/ac7fd9
Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts
Hamyoon, Hessam, Chan, Wai Yee, Mohammadi, Afshin, Kuzan, Taha, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Vijayananthan, Anushya, Rahmat, Kartini, Mumin, Nazimah Ab, Leong, Sook Sam, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts." European Journal of Radiology. 157. https://doi.org/10.1016/j.ejrad.2022.110591
Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals
Gupta, Kapil, Bajaj, Varun, Ansari, Irshad Ahmad and Acharya, U. Rajendra. 2022. "Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals." Biocybernetics and Biomedical Engineering. 42 (3), pp. 784-796. https://doi.org/10.1016/j.bbe.2022.06.001
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques
Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Dharmik, Chinmay, Gangavarapu, Mokshagna Rohit, Nayak, Krishnananda, Ciaccio, Edward J., Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques." Journal of Imaging. 8 (4). https://doi.org/10.3390/jimaging8040102
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
El-Dahshan, El-Sayed. A, Bassiouni, Mahmoud. M, Hagag, Ahmed, Chakrabortty, Ripon K, Loh, Huiwen and Acharya, U.Rajendra. 2022. "RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images." Expert Systems with Applications. 204. https://doi.org/10.1016/j.eswa.2022.117410
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset
Deniz, Erkan, Sobahi, Nebras, Omar, Naaman, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00201-y
Efficient deep neural network model for classification of grasp types using sEMG signals
Coskun, Musab, Yildirim, Ozal, Demir, Yakup and Acharya, U. Rajendra. 2022. "Efficient deep neural network model for classification of grasp types using sEMG signals." Journal of Ambient Intelligence and Humanized Computing. 13 (9), pp. 4437-4450. https://doi.org/10.1007/s12652-021-03284-9
Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms
Chabane, Nail, Bouaoun, Achraf, Tighilt, Reda, Abdar, Moloud, Boc, Alix, Lord, Etienne, Tahiri, Nadia, Mazoure, Bogdan, Acharya, U. Rajendra and Makarenkov, Vladimir. 2022. "Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms." PLoS One. 17 (12). https://doi.org/10.1371/journal.pone.0278364
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features
Bhurane, Ankit A., Dhok, Shivani, Sharma, Manish, Yuvaraj, Rajamanickam, Murugappan, Murugappan and Acharya, U. Rajendra. 2022. "Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12472
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals
Ari, Berna, Sobahi, Nebras, Alcin, Ömer F., Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105311
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
Alizadehsani, Roohallah, Roshanzamir, Mohamad, Abdar, Moloud, Beykikhoshk, Adham, Khosravi, Abbas, Nahavandi, Saeid, Plawiak, Pawel, Tan, Ru San and Acharya, Rajendra. 2022. "Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12573
Interpretation of radiomics features–A pictorial review
Ardakani, Ali Abbasian, Bureau, Nathalie J, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Interpretation of radiomics features–A pictorial review." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2021.106609
Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging
Yildiri, Kadir, Yildirim, Muhammed, Eryesil, Hasan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat, Ogras, Mehmet Sezai, Artas, Hakan and Acharya, U Rajendra. 2022. "Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging." Computers and Electrical Engineering. 102. https://doi.org/10.1016/j.compeleceng.2022.108275
Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment
Urolagin, Siddhaling, Nayak, Jagadish and Acharya, U. Rajendra. 2022. "Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment." IEEE Access. 10, pp. 132455-132471. https://doi.org/10.1109/ACCESS.2022.3228263
Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review
Subudhi, Asit, Dash, Pratyusa, Mohapatra, Manoranjan, Tan, Ru-San, Acharya, U. Rajendra and Sabut, Sukanta. 2022. "Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102535
Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
Sharma, Manish, Kumbhani, Divyash, Yadav, Anuj and Acharya, U. Rajendra. 2022. "Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals." Applied Intelligence. 52 (2), pp. 1325-1337. https://doi.org/10.1007/s10489-021-02422-2
Automated emotion recognition: Current trends and future perspectives
Maithri, M., Raghavendra, U., Gudigar, Anjan, Samanth, Jyothi, Barua, Prabal Datta, Murugappan, Murugappan, Chakole, Yashas and Acharya, U. Rajendra. 2022. "Automated emotion recognition: Current trends and future perspectives." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2022.106646
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals
Loh, Hui Wen, Ooi, Chui Ping, Aydemir, Emrah, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals." Expert Systems: the journal of knowledge engineering. 39 (3). https://doi.org/10.1111/exsy.12773
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Loh, Hui Wen, Ooi, Chui Ping, Dhok, Shivani G., Sharma, Manish, Bhurane, Ankit A. and Acharya, U. Rajendra. 2022. "Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network." Applied Intelligence. 52 (3), pp. 2903-2917. https://doi.org/10.1007/s10489-021-02597-8
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Kuluozturk, Mutlu, Kobat, Mehmet Ali, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U Rajendra. 2022. "DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103870
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Koh, Joel.E.W., Ooi, Chui Ping, Lim-Ashworth, Nikki SJ., Vicnesh, Jahmunah, Tor, Hui Tian, Oh, Oh Shu, Tan, Ru-San, Acharya, U.Rajendra and Fung, Daniel Shuen Sheng. 2022. "Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals." Computers in Biology and Medicine. 140. https://doi.org/10.1016/j.compbiomed.2021.105120
ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images
Key, Sefa, Demir, Sukru, Gurger, Murat, Yilmaz, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Arunkumar, N., Tan, Ru-San and Acharya, U Rajendra. 2022. "ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103864
PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images
Kaplan, Ela, Ekinci, Tekin, Kaplan, Selcuk, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Arunkumar, N and Acharya, U. Rajendra. 2022. "PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/6034971
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U Rajendra. 2022. "Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105550
Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
Barua, Prabal Datta, Jahmunah, Jahmunah, Gururajan, Raj, Oh, Shu Lih, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review ." International Journal of Environmental Research and Public Health. 19 (3). https://doi.org/10.3390/ijerph19031192
Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
Aydemir, Emrah, Yalcinkaya, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Faust, Oliver, Dogan, Sengul, Chakraborty, Subrata, Tuncer, Turker and Acharya, Rajendra. 2022. "Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection." International Journal of Environmental Research and Public Health. 19 (4). https://doi.org/10.3390/ijerph19041939
Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma
Pham, The-Hanh, Faust, Oliver, Koh, Joel En Wei, Ciaccio, Edward J., Barua, Prabal D., Omar, Norlia, Ng, Wei Lin, Mumin, Nazimah Ab, Rahmat, Kartini and Acharya, U. Rajendra. 2022. "Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma." Expert Systems: the journal of knowledge engineering. 39 (5), pp. 1-19. https://doi.org/10.1111/exsy.12947
An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ
Macin, Gulay, Tasci, Burak, Tasci, Irem, Faust, Oliver, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ." Applied Sciences. 12 (10). https://doi.org/10.3390/app12104920
TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals
Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102544
Cybersecurity Policy Compliance in Higher Education: A Theoretical Framework
Yusif, Salifu and Hafeez-Baig, Abdul. 2023. "Cybersecurity Policy Compliance in Higher Education: A Theoretical Framework." Journal of Applied Security Research. 18 (2), pp. 267-288. https://doi.org/10.1080/19361610.2021.1989271
Factors influencing the adoption of electronic health records in the Australian environment
Ouheda, Salem, Hafeez-Baig, Abdul, Chakraborty, Subrata and Gururajan, Raj. 2019. "Factors influencing the adoption of electronic health records in the Australian environment." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Towards effective knowledge application capability in ITSM through socialisation, externalisation, internalisation and combination
Fathi, Abdulazeez, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Towards effective knowledge application capability in ITSM through socialisation, externalisation, internalisation and combination." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus
Bhotta, Dinakar, Hafeez-Baig, Abdul, Gururajan, Raj, Chakraborty, Subrata, Kavuri, Srinivas P. and Krishnan, Dharini. 2019. "An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Business model experimentation through technology and management innovation using cloud computing
Heaton, John, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Business model experimentation through technology and management innovation using cloud computing." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Understanding factors influencing adoption of mobile devices in telehealth: a quantitative study
Rani, Vasundhara, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Understanding factors influencing adoption of mobile devices in telehealth: a quantitative study." 24th Asia Pacific DSI Conference Program (APDSI 2019). Brisbane, Australia 15 - 18 Jul 2019
Conceptual framework for telehealth adoption in Indian healthcare
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2019. "Conceptual framework for telehealth adoption in Indian healthcare." 24th Asia Pacific DSI Conference Program (APDSI 2019). Brisbane, Australia 15 - 18 Jul 2019
A set of quality metrics for the evaluation of voice termination services
Chan, Ka C., Zhou, Xujuan, Gururajan, Raj and Barua, Prabal. 2018. "A set of quality metrics for the evaluation of voice termination services." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.00036
Role of Accessory Right Inferior Hepatic Veins in evaluation of Liver Transplantation
Ahmed, Awais, Hafeez-Baig, Abdul, Sharif, Mirza Akmal, Ahmed, Umair, Ahmed, Shozab and Gururajan, Raj. 2017. "Role of Accessory Right Inferior Hepatic Veins in evaluation of Liver Transplantation." Annals of Clinical Gastroenterology and Hepatology. 1 (1), pp. 12-16. https://doi.org/10.29328/journal.acgh.1001004
A conceptual model for cybersecurity governance
Yusif, Salifu and Hafeez-Baig, Abdul. 2021. "A conceptual model for cybersecurity governance." Journal of Applied Security Research. 16 (4), pp. 490-513. https://doi.org/10.1080/19361610.2021.1918995
Development of a survey instrument to explore telehealth adoption in the healthcare domain
Chowdhury, Avijit, Hafeez-Baig, Abdul and Gururajan, Raj. 2021. "Development of a survey instrument to explore telehealth adoption in the healthcare domain." Yamamoto, Sakae and Mori, Hirohiko (ed.) 23RD International Conference on Human-Computer Interaction (HCII 2021). Washington DC, United States 24 - 29 Jul 2021 Switzerland. https://doi.org/10.1007/978-3-030-78361-7_16
Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)
Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs
Roui, Mohammad Beheshti, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Plawiak, Pawel, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs." Knowledge-Based Systems. 231. https://doi.org/10.1016/j.knosys.2021.107419
The hidden reasons of the Vietnamese parents for paying private tuition fees for public school teachers
Nguyen, The Cuong, Hafeez-Baig, Abdul, Gururajan, Raj and Nguyen, Nam C.. 2021. "The hidden reasons of the Vietnamese parents for paying private tuition fees for public school teachers." Social Sciences & Humanities Open. 3 (1), pp. 1-10. https://doi.org/10.1016/j.ssaho.2021.100105
The role of image quality in telehealth: adoption challenges in the subcontinent
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj, McCubbin, Amanda, Sharif, Mirza Akmal and Miah, Shah J.. 2021. "The role of image quality in telehealth: adoption challenges in the subcontinent." Pacific Asia Journal of the Association for Information Systems. 13 (3), pp. 131-145. https://doi.org/10.17705/1pais.13307
Effects of rubric quality on marker variation in higher education
Chakraborty, Subrata, Dann, Christopher, Mandal, Anuradha, Dann, Beverly, Paul, Manoranjan and Hafeez-Baig, Abdul. 2021. "Effects of rubric quality on marker variation in higher education." Studies in Educational Evaluation. 70, pp. 1-12. https://doi.org/10.1016/j.stueduc.2021.100997
Automated major depressive disorder detection using melamine pattern with EEG signals
Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-y
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552
Discovering dynamic Virtual Team determinants through an interpretivist philosophical framework
Woods, Ash, Hafeez-Baig, Abdul and McCubbin, Amanda. 2021. "Discovering dynamic Virtual Team determinants through an interpretivist philosophical framework." 31st Australasian Conference on Information Systems (ACIS 2020). Wellington, New Zealand 01 - 04 Dec 2020 Wellington, New Zealand.
An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana
Yusif, Salifu, Hafeez-Baig, Abdul and Soar, Jeffrey. 2020. "An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana." Journal of Healthcare Informatics Research. 4 (2), pp. 189-214. https://doi.org/10.1007/s41666-020-00070-8
A model for evaluating eHealth preparedness – a case study approach
Yusif, Salifu, Hafeez-Baig, Abdul and Soar, Jeffrey. 2020. "A model for evaluating eHealth preparedness – a case study approach." Transforming Government: People, Process and Policy. 14 (3), pp. 561-587. https://doi.org/10.1108/TG-07-2019-0069
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
Zhou, Xujuan, Li, Yuefeng, Gururajan, Raj, Bargshady, Ghazal, Tao, Xiaohui, Venkataraman, Revathi, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection." 7th International Conference on Behavioural and Social Computing (BESC 2020). Bournemouth, United Kingdom 05 - 07 Nov 2020 United Kingdom. https://doi.org/10.1109/BESC51023.2020.9348322
Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images
Zhao, Xinxing, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images." Biocybernetics and Biomedical Engineering. 41 (2), pp. 456-473. https://doi.org/10.1016/j.bbe.2021.02.006
Deep learning model for automated kidney stone detection using coronal CT images
Yildirim, Kadir, Bozdag, Pinar Gundogan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat and Acharya, U. Rajendra. 2021. "Deep learning model for automated kidney stone detection using coronal CT images." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104569
Development of accurate classification of heavenly bodies using novel machine learning techniques
Wierzbinski, Michal, Pławiak, Pawel, Hammad, Mohamed and Acharya, U. Rajendra. 2021. "Development of accurate classification of heavenly bodies using novel machine learning techniques." Soft Computing. 25 (10), pp. 7213-7228. https://doi.org/10.1007/s00500-021-05687-4
Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives
Vidhya, V., Gudigar, Anjan, Raghavendra, U., Hegde, Ajay, Menon, Girish R., Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives." International Journal of Environmental Research and Public Health. 18 (12). https://doi.org/10.3390/ijerph18126499
Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals
Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals." Information Sciences. 565, pp. 91-104. https://doi.org/10.1016/j.ins.2021.01.088
Automated EEG signal classification using chaotic local binary pattern
Tuncer,Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated EEG signal classification using chaotic local binary pattern." Expert Systems with Applications. 182. https://doi.org/10.1016/j.eswa.2021.115175
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques." Knowledge-Based Systems. 211. https://doi.org/10.1016/j.knosys.2020.106547
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
Tor, Hui Tian, Ooi, Chui Ping, Lim-Ashworth, Nikki SJ, Koh, Joel Koh En, Jahmunah, V., Oh, Shu Lih, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2021. "Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals." Computer Methods and Programs in Biomedicine. 200. https://doi.org/10.1016/j.cmpb.2021.105941
Artificial Intelligence and Machine Learning in Emergency Medicine
Tang, Kenneth Jian Wei, Ang, Candice Ke En, Constantinides, Theodoros, Rajinikanth, V., Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Artificial Intelligence and Machine Learning in Emergency Medicine." Biocybernetics and Biomedical Engineering. 41 (1), pp. 156-172. https://doi.org/10.1016/j.bbe.2020.12.002
Accurate detection of myocardial infarction using non linear features with ECG signals
Sridhar, Chaitra, Lih, Oh Shu, Jahmunah, V., Koh, Joel E. W., Ciaccio, Edward J., San, Tan Ru, Arunkumar, N., Kadry, Seifedine and Acharya, U. Rajendra. 2021. "Accurate detection of myocardial infarction using non linear features with ECG signals." Journal of Ambient Intelligence and Humanized Computing. 12 (3), pp. 3227-3244. https://doi.org/10.1007/s12652-020-02536-4
Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758]
Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2021. "Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758] ." Computer Methods and Programs in Biomedicine. 205. https://doi.org/10.1016/j.cmpb.2021.106118
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Moridian, Parisa, Rezaei, Mitra, Alizadehsani, Roohallah, Khozeimeh, Fahime, Gorriz, Juan Manuel, Heras, Jónathan, Panahiazar, Maryam, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review." Computers in Biology and Medicine. 136. https://doi.org/10.1016/j.compbiomed.2021.104697
Epileptic seizures detection using deep learning techniques: A review
Acharya, Udyavara Rajendra, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Alizadehsani, Roohallah, Panahiazar, Maryam, Khozeimeh, Fahime, Zare, Assef, Hosseini-Nejad, Hossein, Khosravi, Abbas, Atiya, Amir F., Aminshahidi, Diba, Hussain, Sadiq, Rouhani, Modjtaba and Nahavandi, Saeid. 2021. "Epileptic seizures detection using deep learning techniques: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115780
Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals
Sharma, Manish, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals." International Journal of Environmental Research and Public Health. 18 (6). https://doi.org/10.3390/ijerph18063087
Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals
Sharma, Manish, Tiwari, Jainendra, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals." Electronics. 10 (13). https://doi.org/10.3390/electronics10131531
Automated detection of hypertension using physiological signals: A review
Sharma, Manish, Rajput, J.S., Tan, Ru San and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using physiological signals: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115838
Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals
Sharma, Manish, Patel, Virendra, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081380
Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals
Sharma, Manish, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals." Knowledge-Based Systems. 224. https://doi.org/10.1016/j.knosys.2021.107078
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
Sharma, Manish, Dhiman, Harsh S. and Acharya, U. Rajendra. 2021. "Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals." Computers in Biology and Medicine. 131. https://doi.org/10.1016/j.compbiomed.2021.104246
Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG
Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG." Cognitive Neurodynamics. 15 (4), pp. 661-674. https://doi.org/10.1007/s11571-020-09655-w
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102622
Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform
Sawant, Nidhi Kalidas, Patidar, Shivnarayan, Nesaragi, Naimahmed and Acharya, U. Rajendra. 2021. "Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform." Biocybernetics and Biomedical Engineering. 41 (1), pp. 111-126. https://doi.org/10.1016/j.bbe.2020.12.007
A hybrid deep learning approach for gland segmentation in prostate histopathological images
Salvi, Massimo, Bosco, Martino, Molinaro, Luca, Gambella, Alessandro, Papotti, Mauro, Acharya, U. Rajendra and Molinari, Filippo. 2021. "A hybrid deep learning approach for gland segmentation in prostate histopathological images." Artificial Intelligence in Medicine. 115. https://doi.org/10.1016/j.artmed.2021.102076
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
Salvi, Massimo, Acharya, U. Rajendra, Molinari, Filippo and Meiburger, Kristen M.. 2021. "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104129
Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals
Rajput, Jaypal Singh, Sharma, Manish, Kumbhani, Divyash and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals." Informatics in Medicine Unlocked. 26. https://doi.org/10.1016/j.imu.2021.100736
Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
Raghavendra, U., Pham, The-Hanh, Gudigar, Anjan, Vidhya, V., Rao, B. Nageswara, Sabut, Sukanta, Koh, Joel Koh En, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images." Complex and Intelligent Systems. 7 (2), pp. 929-940. https://doi.org/10.1007/s40747-020-00257-x
2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer
Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Ng, Kwan Hoong, Chan, Wai Yee, Rahmat, Kartini and Acharya, U. Rajendra. 2021. "2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12474
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
Radhakrishnan, Tejas, Karhade, Jay, Ghosh, S.K., Muduli, P.R., Tripathy, R.K. and Acharya, U. Rajendra. 2021. "AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals." Computers in Biology and Medicine. 137, p. wave. https://doi.org/10.1016/j.compbiomed.2021.104783
A novel machine learning framework for automated detection of arrhythmias in ECG segments
Pham, The-Hanh, Sree, Vinitha, Mapes, John, Dua, Sumeet, Lih, Oh Shu, Koh, Joel E. W., Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A novel machine learning framework for automated detection of arrhythmias in ECG segments." Journal of Ambient Intelligence and Humanized Computing. 12 (11), pp. 10145-10162. https://doi.org/10.1007/s12652-020-02779-1
Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images
Pham, The-Hanh, Raghavendra, U., Koh, Joel En Wei, Gudigar, Anjan, Chan, Wai Yee, Ramli Hamid, Marlina Tanty, Rahmat, Kartini, Fadzli, Farhana, Ng, Kwan Hoong, Ooi, Chui Ping, Ciaccio, Edward J., Fujita, Hamido and Acharya, U. Rajendra. 2021. "Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images." Journal of Ambient Intelligence and Humanized Computing. 12 (2), pp. 2121-2129. https://doi.org/10.1007/s12652-020-02310-6
Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images
Pathan, S., Siddalingaswamy, P.C., Kumar, Preetham, Pai, Manohara MM, Ali, Tanweer and Acharya, U. Rajendra. 2021. "Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104835
A novel automated autism spectrum disorder detection system
Oh, Shu Lih, Jahmunah, V., Arunkumar, N., Abdulhay, Enas W., Gururajan, Raj, Kadri, Nahrizul, Ciaccio, Edward J., Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "A novel automated autism spectrum disorder detection system." Complex and Intelligent Systems. 7 (5), pp. 2399-2413. https://doi.org/10.1007/s40747-021-00408-8
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
Nayak, Deepak Ranjan, Das, Dibyasundar, Majhi, Banshidhar, Bhandary, Sulatha V. and Acharya, U. Rajendra. 2021. "ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images." Biomedical Signal Processing and Control. 67. https://doi.org/10.1016/j.bspc.2021.102559
Exploring deep features and ECG attributes to detect cardiac rhythm classes
Murat, Fatma, Yildirim, Ozal, Talo, Muhammed, Demir, Yakup, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Exploring deep features and ECG attributes to detect cardiac rhythm classes." Knowledge-Based Systems. 232. https://doi.org/10.1016/j.knosys.2021.107473
Review of deep learning-based atrial fibrillation detection studies
Murat, Fatma, Sadak, Ferhat, Yildirim, Ozal, Talo, Muhammed, Murat, Ender, Karabatak, Murat, Demir, Yakup, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Review of deep learning-based atrial fibrillation detection studies." International Journal of Environmental Research and Public Health. 18 (21). https://doi.org/10.3390/ijerph182111302
ECG Language processing (ELP): A new technique to analyze ECG signals
Mousavi, Sajad, Afghah, Fatemeh, Khadem, Fatemeh and Acharya, U. Rajendra. 2021. "ECG Language processing (ELP): A new technique to analyze ECG signals." Computer Methods and Programs in Biomedicine. 202. https://doi.org/10.1016/j.cmpb.2021.105959
Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis
Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Hazarika, Manali, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis." Journal of Fungi. 7 (10). https://doi.org/10.3390/jof7100850
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Maheshwari, Daksh, Ghosh, S.K., Tripathy, R.K., Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104428
Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals
Loh, Hui Wen, Ooi, Chui Ping, Palmer, Elizabeth, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, U. Rajendra. 2021. "Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals." Electronics. 10 (14). https://doi.org/10.3390/electronics10141740
Hybrid decision support to monitor atrial fibrillation for stroke prevention
Lei, Ningrong, Kareem, Murtadha, Moon, Seung Ki, Ciaccio, Edward J., Acharya, U Rajendra and Faust, Oliver. 2021. "Hybrid decision support to monitor atrial fibrillation for stroke prevention." International Journal of Environmental Research and Public Health. 18 (2). https://doi.org/10.3390/ijerph18020813
Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification
Lai, Joel Weijia, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18116099
Automated covid-19 and heart failure detection using dna pattern technique with cough sounds
Kobat, Mehmet Ali, Kivrak, Tarik, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated covid-19 and heart failure detection using dna pattern technique with cough sounds." Diagnostics. 11 (11). https://doi.org/10.3390/diagnostics11111962
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Khodatars, Marjane, Shoeibi, Afshin, Sadeghi, Delaram, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Zare, Assef, Kong, Yinan, Khosravi, Abbas, Nahavandi, Saeid, Hussain, Sadiq, Acharya, U. Rajendra and Berk, Michael. 2021. "Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review." Computers in Biology and Medicine. 139. https://doi.org/10.1016/j.compbiomed.2021.104949
SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals." IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3070608
Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals." Biocybernetics and Biomedical Engineering. 41 (2), pp. 679-689. https://doi.org/10.1016/j.bbe.2021.04.008
PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals." IEEE Sensors Journal. 21 (15), pp. 17017-17024. https://doi.org/10.1109/JSEN.2021.3080135
Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication
Javan, Ali Akbar Kekha, Shoeibi, Afshin, Zare, Assef, Izadi, Navid Hosseini, Jafari, Mahboobeh, Alizadehsani, Roohallah, Moridian, Parisa, Mosavi, Amir, Acharya, U. Rajendra and Nahavandi, Saeid. 2021. "Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication." Sensors. 21 (1). https://doi.org/10.3390/s21010254
Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal
Karhade, Jay, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Tripathy, Rajesh Kumar and Acharya, U. Rajendra. 2021. "Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal." Applied Sciences. 11 (17). https://doi.org/10.3390/app11177920
A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
Kareem, Murtadha, Lei, Ningrong, Ali Ali, Ciaccio, Edward J., Acharya, U. Rajendra and Faust, Oliver. 2021. "A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102818
Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
Karadal, Can Haktan, Kaya, M. Cagri, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques." Expert Systems with Applications. 185. https://doi.org/10.1016/j.eswa.2021.115659
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
Jahmunah, V., Ng, E.Y.K., Tan, Tan Ru and Acharya, U. Rajendra. 2021. "Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104457
A review on computer aided diagnosis of acute brain stroke
Inamdar, Mahesh Anil, Raghavendra, Udupi, Gudigar, Anjan, Chakole, Yashas, Hegde, Ajay, Menon, Girish R., Barua, Prabal, Palmer, Elizabeth Emma, Cheong, Kang Hao, Chan, Wai Yee, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A review on computer aided diagnosis of acute brain stroke." Sensors. 21 (24). https://doi.org/10.3390/s21248507
ResNet-Attention model for human authentication using ECG signals
Hammad, Mohamed, Pławiak, Paweł, Wang, Kuanquan and Acharya, Udyavara Rajendra. 2021. "ResNet-Attention model for human authentication using ECG signals." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12547
Automated detection of shockable ECG signals: A review
Hammad, Mohamed, Rajesh, Kandala N.V.P.S, Abdelatey, Amira, Abdar, Moloud, Zomorodi-Moghadam, Mariam, Tan, Ru-San, Acharya, U. Rajendra, Plawiak, Joanna, Tadeusiewicz, Ryszard, Makarenkov, Vladimir, Sarrafzadegan, Nizal, Khosravi, Abbas, Nahavandi, Saeid, Abd El-Latif, Ahmed A. and Plawiak, Pawel. 2021. "Automated detection of shockable ECG signals: A review." Information Sciences. 571, pp. 580-604. https://doi.org/10.1016/j.ins.2021.05.035
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Gangavarapu, Mokshagna Rohit, Kudva, Abhilash, Paramasivam, Ganesh, Nayak, Krishnananda, Tan, Ru-San, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102733
Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization
Gudigar, Anjan, Nayak, Sneha, Samanth, Jyothi, Raghavendra, U., Ashwal, A J, Barua, Prabal Datta, Hasan, Md Nazmul, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization." International Journal of Environmental Research and Public Health. 18 (19). https://doi.org/10.3390/ijerph181910003
Automated arrhythmia detection based on rr intervals
Faust, Oliver, Kareem, Murtadha, Ali Ali, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection based on rr intervals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081446
Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images
Faust, Oliver, Koh, Joel En Wei, Jahmunah, Vicnesh, Sabut, Sukant, Ciaccio, Edward J., Majid, Arshad, Ali, Ali, Lip, Gregory Y. H. and Acharya, U. Rajendra. 2021. "Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158059
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Faust, Oliver, Barika, Ragab Ragab, Shenfield, Alex, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Accurate detection of sleep apnea with long short-term memory network based on RR interval signals." Knowledge-Based Systems. 212. https://doi.org/10.1016/j.knosys.2020.106591
Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals
Faust, Oliver and Acharya, U. Rajendra. 2021. "Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals." Expert Systems with Applications. 181. https://doi.org/10.1016/j.eswa.2021.115031
Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment
Faeghi, Fariborz, Ardakani, Ali Abbasian, Acharya, U. Rajendra, Mirza-Aghazadeh-Attari, Mohammad, Abolghasemi, Jamileh, Ejtehadifar, Sajjad and Mohammadi, Afshin. 2021. "Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment." European Journal of Radiology. 136. https://doi.org/10.1016/j.ejrad.2020.109518
Application of substitution box of present cipher for automated detection of snoring sounds
Dogan, Sengul, Akbal, Erhan, Tuncer, Turker and Acharya, U. Rajendra. 2021. "Application of substitution box of present cipher for automated detection of snoring sounds." Artificial Intelligence in Medicine. 117. https://doi.org/10.1016/j.artmed.2021.102085
PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition
Dogan, Abdullah, Akay, Merve, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Dogru, Ali Hikmet and Acharya, U. Rajendra. 2021. "PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition." Computers in Biology and Medicine. 138. https://doi.org/10.1016/j.compbiomed.2021.104867
An automated skin melanoma detection system with melanoma-index based on entropy features
Cheong, Kang Hao, Tang, Kenneth Jian Wei, Zhao, Xinxing, Koh, Joel En Wei, Faust, Oliver ., Gururajan, Raj, Ciaccio, Edward J., Rajinikanth, V. and Acharya, U. Rajendra. 2021. "An automated skin melanoma detection system with melanoma-index based on entropy features." Biocybernetics and Biomedical Engineering. 41 (3), pp. 997-1012. https://doi.org/10.1016/j.bbe.2021.05.010
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images
Chan, Yam Meng, Ng, E.Y.K., Jahmunah, V., Koh, Joel En Wei, Oh, Shu Lih, Han, Wei Shan, Yip, Leonard Wei Leon and Acharya, U. Rajendra. 2021. "Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102895
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Dogan, Sengul, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals." Biomedical Signal Processing and Control. 70. https://doi.org/10.1016/j.bspc.2021.102936
Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records." Information Sciences. 575, pp. 323-337. https://doi.org/10.1016/j.ins.2021.06.022
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Faust, Oliver, Arunkumar, N., Abdulhay, Enas W., Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2021. "Automated ASD detection using hybrid deep lightweight features extracted from EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104548
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik and Acharya, U. Rajendra. 2021. "ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 115, pp. 279-294. https://doi.org/10.1016/j.future.2020.08.005
Automatic covid-19 detection using exemplar hybrid deep features with x-ray images
Barua, Prabal Datta, Muhammad Gowdh, Nadia Fareeda, Rahmat, Kartini, Ramli, Norlisah, Ng, Wei Lin, Chan, Wai Yee, Kuluozturk, Mutlu, Dogan, Sengul, Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Wen, Tao, Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "Automatic covid-19 detection using exemplar hybrid deep features with x-ray images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158052
Novel automated PD detection system using aspirin pattern with EEG signals
Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, Rajendra. 2021. "Novel automated PD detection system using aspirin pattern with EEG signals." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104841
Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images
Barua, Prabal Datta, Chan, Wai Yee Chan, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ciaccio, Edward J., Islam, Nazrul, Cheong, Kang Hao, Shahid, Zakia Sultana and Acharya, Rajendra. 2021. "Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images." Entropy: international and interdisciplinary journal of entropy and information studies. 23 (12). https://doi.org/10.3390/e23121651
A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study
Ardakani, Ali Abbasian, Kwee, Robert M., Mirza-Aghazadeh-Attari, Mohammad, Castro, Horacio Matias, Kuzan, Taha Yusuf, Altintoprak, Kubra Murzoglu, Besutti, Giulia, Monelli, Filippo, Faeghi, Fairborz, Acharya, U Rajendra and Mohammadi, Afshin. 2021. "A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study." Pattern Recognition Letters. 152, pp. 42-49. https://doi.org/10.1016/j.patrec.2021.09.012
Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data
Alizadehsani, Roohallah, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Gorriz, Juan M., Hussain, Sadiq, Arco, Juan E., Sani, Zahra Alizadeh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data." ACM Transactions on Multimedia Computing Communications and Applications. 17 (3s), pp. 1-24. https://doi.org/10.1145/3462635
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F. and Acharya, U. Rajendra. 2021. "Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)." Annals of Operations Research. https://doi.org/10.1007/s10479-021-04006-2
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
Alizadehsani, Roohallah, Khosravi, Abbas, Roshanzamir, Mohamad, Abdar, Moloud, Sarrafzadegan, Nizal, Shafie, Davood, Khozeimeh, Fahime, Shoeibi, Afshin ., Nahavandi, Saeid, Panahiazar, Maryam, Bishara, Andrew, Beygui, Ramin E., Puri, Rishi, Kapadia, Samir R., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104095
Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients
Alizadehsani, Roohallah, Sani, Zahra Alizadeh, Behjati, Mohaddeseh, Roshanzamir, Zahra, Hussain, Sadiq, Abedini, Niloofar, Hasanzadeh, Fereshteh, Khosravi, Abbas, Shoeibi, Afshin, Roshanzamir, Mohamad, Moradnejad, Pardis, Nahavandi, Saeid, Khozeimeh, Fahime, Zare, Asse, Panahiazar, Maryam, Acharya, U. Rajendra and Islam, Sheikh Mohammad Shariful. 2021. "Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients." Journal of Medical Virology. 93 (4), pp. 2307-2320. https://doi.org/10.1002/jmv.26699
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Abdar, Moloud, Samami, Maryam, Mahmoodabad, Sajjad Dehghani, Doan, Thang, Mazoure, Bogdan, Hashemifesharaki, Reza, Liu, Li, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2021. "Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104418
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Abdar, Moloud, Pourpanah, Farhad, Hussain, Sadiq, Rezazadegan, Dana, Liu, Li, Ghavamzadeh, Mohammad, Fieguth, Paul, Cao, Xiaochun, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, S.. 2021. "A review of uncertainty quantification in deep learning: Techniques, applications and challenges." Information Fusion. 76, pp. 243-297. https://doi.org/10.1016/j.inffus.2021.05.008
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Abdar, Moloud, Fahami, Mohammad Amin, Chakrabarti, Satarupa, Khosravi, Abbas, Pławiak, Paweł, Acharya, U. Rajendra, Tadeusiewicz, Ryszard and Nahavandi, Saeid. 2021. "BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification." Information Sciences. 577, pp. 353-378. https://doi.org/10.1016/j.ins.2021.07.024
COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings
Ardakani, Ali Abbasian, Acharya, U. Rajendra, Habibollahi, Sina and Mohammadi, Afshin. 2021. "COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings." European Radiology. 31 (1), pp. 121-130. https://doi.org/10.1007/s00330-020-07087-y
PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model
Yusif, Salifu, Hafeez-Baig, Abdul, Soar, Jeffrey and Ong Lai Teik, Derek. 2020. "PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model." Health And Technology. 10 (6), pp. 1497-1513. https://doi.org/10.1007/s12553-020-00484-9
The Adoption of Mobile Technologies in Healthcare: The Perceptions of Healthcare Professionals Regarding Knowledge Management Practices in Developing Countries
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj and Sharif, Mirza Akmal. 2020. "The Adoption of Mobile Technologies in Healthcare: The Perceptions of Healthcare Professionals Regarding Knowledge Management Practices in Developing Countries." Stephanidis, Constantine, Salvendy, Gavriel, Wei, June, Yamamoto, Sakae, Mori, Hirohiko, Meiselwitz, Gabriele, Nah, Fiona Fui-Hoon and Siau, Keng (ed.) 22nd Human-Computer Interaction International Conference (HCI International 2020). Copenhagen, Denmark 19 - 24 Jul 2020 Switzerland. https://doi.org/10.1007/978-3-030-60152-2_5
A survey on text classification and its applications
Zhou, Xujuan, Gururajan, Raj, Li, Yuefeng, Venkataraman, Revathi, Tao, Xiaohui, Bargshady, Ghazala, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A survey on text classification and its applications." Web Intelligence. 18 (2), pp. 205-216. https://doi.org/10.3233/WEB-200442
Automated prediction of sepsis using temporal convolutional network
Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957
Determination of factors influencing student engagement using a learning management system in a tertiary setting
Barua, Prabal Datta. 2020. Determination of factors influencing student engagement using a learning management system in a tertiary setting. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/Z9AS-4P42
The effect of talent management processes on knowledge creation: a case of Australian higher education
Mohammed, Atheer Abdullah, Hafeez Baig, Abdul and Gururajan, Raj. 2019. "The effect of talent management processes on knowledge creation: a case of Australian higher education." Journal of Industry-University Collaboration. 1 (3), pp. 132-152. https://doi.org/10.1108/JIUC-05-2019-0010
Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach
Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Plawiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal. 2020. "Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach." Pattern Recognition Letters. 133, pp. 33-40. https://doi.org/10.1016/j.patrec.2020.02.010
Understanding the factors that influence brand-image of a business school brand: a recruiters prospective
Kavuri, Srinivas Phani, Hafeez-Baig, Abdul, Gururajan, Raj and Bhotta, Dinakar. 2019. "Understanding the factors that influence brand-image of a business school brand: a recruiters prospective." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study
Yusif, Salifu, Hafeez-Baig, Abdul and Soar, Jeffrey. 2022. "Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study." Applied Computing and Informatics. 18 (3-4), pp. 279-289. https://doi.org/10.1016/j.aci.2019.11.007
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease
Zomorodi-Moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U. Rajendra. 2021. "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease." Expert Systems: the journal of knowledge engineering. 38 (1), pp. 1-17. https://doi.org/10.1111/exsy.12485
An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device
Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2020. "An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device ." Computer Methods and Programs in Biomedicine. 197. https://doi.org/10.1016/j.cmpb.2020.105758
An exploratory study to understand the phenomena of eye-tracking technology: a case of the education environment
Syed, Ahmed, Chakraborty, Subrata, Hafeez-Baig, Abdul and Mandal, Anuradha. 2020. "An exploratory study to understand the phenomena of eye-tracking technology: a case of the education environment." Dann, Christopher Ewart and O'Neill, Shirley (ed.) Technology-enhanced formative assessment practices in higher education. United States. IGI Global. pp. 240-261
An exploratory qualitative research to address processes that are utilised for managing knowledge: a case study in a Queensland regional University
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "An exploratory qualitative research to address processes that are utilised for managing knowledge: a case study in a Queensland regional University." International Journal of Higher Education and Sustainability. 2 (3), pp. 173-196. https://doi.org/10.1504/IJHES.2019.101954
A novel framework for distress detection through an automated speech processing system
Rana, Rajib, Gururajan, Raj, Mackenzie, Geraldine, Dunn, Jeff, Gray, Anthony, Zhou, Xujuan, Barua, Prabal Datta, Epps, Julien and Humphris, Gerald Michael. 2018. "A novel framework for distress detection through an automated speech processing system." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-29
Determination of factors influencing student engagement using a learning management system in a tertiary setting
Barua, Prabal Datta, Zhou, Xujuan, Gururajan, Raj and Chan, Ka C.. 2018. "Determination of factors influencing student engagement using a learning management system in a tertiary setting." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-30
A qualitative research to explore practices that are utilised for managing talent development in the higher education environment: a case study in six Australian universities
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "A qualitative research to explore practices that are utilised for managing talent development in the higher education environment: a case study in six Australian universities." Journal of Industry-University Collaboration. 1 (1), pp. 24-37. https://doi.org/10.1108/JIUC-02-2019-003
Consumer engagement with social media marketing in Australia
Deo, Kirtika, Chimhundu, Ranga and Hafeez-Baig, Abdul. 2018. "Consumer engagement with social media marketing in Australia." 2018 International Congress on Banking, Economics, Finance and Business (BEFB- Sydney 2018). Sydney, Australia 17 - 19 Dec 2018
A qualitative research to explore processes that are utilized for managing talent: a case study in a Queensland regional university University
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "A qualitative research to explore processes that are utilized for managing talent: a case study in a Queensland regional university University." Australian Academy of Business and Economics Review. 4 (3), pp. 188-200.
A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi. 2020. "A new nested ensemble technique for automated diagnosis of breast cancer." Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2018.11.004
Exploring processes that are used for managing knowledge in the higher education environment: a case study in a Queensland regional university
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "Exploring processes that are used for managing knowledge in the higher education environment: a case study in a Queensland regional university." International Journal of Business and Economic Affairs. 3 (2), pp. 73-90. https://doi.org/10.24088/IJBEA-2018-32004
Primarily investigating into the relationship between talent management and knowledge management in business environment
Mohammed, Atheer Abdullah, Gururajan, Raj and Hafeez-Baig, Abdul. 2017. "Primarily investigating into the relationship between talent management and knowledge management in business environment." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3109444
An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments." Deng, Hepu and Standing, Craig (ed.) 24th Australasian Conference on Information Systems (ACIS 2013). Melbourne, Australia 04 - 06 Dec 2013 Melbourne, Australia.
e-Health readiness assessment factors and measuring tools: a systematic review
Yusif, Salifu, Hafeez-Baig, Abdul and Soar, Jeffrey. 2017. "e-Health readiness assessment factors and measuring tools: a systematic review." International Journal of Medical Informatics. 107, pp. 56-64. https://doi.org/10.1016/j.ijmedinf.2017.08.006
Adoption of mobile devices in the Australian healthcare: a conceptual framework approach
Rani Sood, Vasundhara, Gururajan, Raj, Hafeez-Baig, Abdul and Wickramasinghe, Nilmini. 2017. "Adoption of mobile devices in the Australian healthcare: a conceptual framework approach." Wickramasinghe, Nilmini (ed.) Handbook of research on healthcare administration and management. Hershey, PA, United States. IGI Global. pp. 662-685
An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker
Debnath, Tanmoy, Paul, Manoranjan, Chakraborty, Subrata, Podder, Pallab Kanti, Gururajan, Raj and Hafeez-Baig, Abdul. 2016. "An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker." Shoniregun, Charles A. and Akmayeva, Galyna A. (ed.) London International Conference on Education (LICE-2016). London, United Kingdom 14 - 17 Nov 2016 London, United Kingdom.
Study to investigate factors influencing adoption of mobile devices in the health care environment
Rani Sood, Vasundhara, Hafeez-Baig, Abdul and Gururajan, Raj. 2016. "Study to investigate factors influencing adoption of mobile devices in the health care environment." European Conference on Information Systems (ECIS 2016). Istanbul, Turkey 12 - 15 Jun 2016
Moving towards the effective evaluation of mobile learning initiatives in higher education institutions
Farley, Helen, Murphy, Angela, Todd, Nicole Ann, Lane, Michael, Hafeez-Baig, Abdul, Midgley, Warren and Johnson, Chris. 2015. "Moving towards the effective evaluation of mobile learning initiatives in higher education institutions." Zhang, Yu (Aimee) (ed.) Handbook of mobile teaching and learning. Germany. Springer. pp. 721-740
Exercise, Diet Counselling, and Management for the Adults with Diabetes Mellitus: An Indian Case Study
Pathy, Dharnini, Gururajan, Raj, Hafeez-Baig, Abdul, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2016. "Exercise, Diet Counselling, and Management for the Adults with Diabetes Mellitus: An Indian Case Study ." Wickramasignhe, Nilmini, Troshani, Indrit and Tan, Joseph (ed.) Contemporary consumer health informatics. Switzerland. Springer. pp. 15-52
Reliability of qualitative data using text analysis: a Queensland Health case study
Gururajan, Raj, Clark, Kevin, Moller, Suan, Sankaran, Prema, Hafeez Baig, Abdul, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2016. "Reliability of qualitative data using text analysis: a Queensland Health case study." Wickramasinghe, Nilmini, Troshani, I. and Tan, J. (ed.) Contemporary Consumer Health Informatics. Switzerland. Springer. pp. 1-13
Reliability of qualitative data using text analysis: a Queensland Health case study
Gururajan, Raj, Hafeez-Baig, Abdul, Clark, Kevin, Moller, Susan and Sankaran, Prema. 2014. "Reliability of qualitative data using text analysis: a Queensland Health case study." 3rd International Conference on Eco-friendly Computing and Communication Systems (ICECCS 2014): Computing and Communication for Sustainable Development. Mangalore, India 18 - 21 Dec 2014 Piscataway, NJ. United States.
Assuring reliability in qualitative studies: a health informatics persective
Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2016. "Assuring reliability in qualitative studies: a health informatics persective." 20th Pacific Asia Conference on Information Systems (PACIS 2016). Chiayi, Taiwan 27 Jun - 01 Jul 2016 Chiayi, Taiwan.
Title of PhD project: study to investigate factors influencing adoption of mobile devices in the health care environment
Rani Sood, Vasundhara, Gururajan, Raj and Hafeez Baig, Abdul. 2015. "Title of PhD project: study to investigate factors influencing adoption of mobile devices in the health care environment." 26th Australasian Conference on Information Systems (ACIS 2015). Adelaide, Australia 30 Nov - 04 Dec 2015 Adelaide, South Australia.
Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan
Hafeez-Baig, Abdul and Gururajan, Raj. 2014. "Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan." 25th Australasian Conference on Information Systems (ACIS 2014). Auckland, New Zealand 08 - 10 Dec 2014 Palmerston North, New Zealand.
Objective Analysis of Marker Bias in Higher Education
Chakraborty, Subrata, Zhou, Susan, Hafeez-Baig, Abdul, Gururajan, Raj, Paul, Manoranjan, Mandal, Anuradha, Chacko, Anila Elizabeth and Barua, Prabal D.. 2017. "Objective Analysis of Marker Bias in Higher Education." 5th IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016). Bangkok, Thailand 07 - 09 Dec 2016 Piscataway, United States. https://doi.org/10.1109/TALE.2016.7851839
The impact of diet counselling on Type 2 Diabetes Mellitus: an Indian case study
Krishnan, Dharini, Gururajan, Raj, Hafeez-Baig, Abdul, Kondalasamy-Chennakesavan, Srinivas, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2015. "The impact of diet counselling on Type 2 Diabetes Mellitus: an Indian case study." Journal of Diabetes and Metabolism. 6 (10). https://doi.org/10.4172/2155-6156.1000610
What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia
Rani Sood, Vasundhara, Gururajan, Raj and Hafeez Baig, Abdul. 2016. "What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia." 2nd National Rural & Remote Telehealth Conference. Toowoomba, Australia 05 - 06 Oct 2016 Toowoomba, Australia.
What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia
Rani Sood, Vasundhara, Hafeez Baig, Abdul and Gururajan, Raj. 2016. "What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia." 2nd National Rural & Remote Telehealth Conference. Toowoomba, Australia 05 - 06 Oct 2016 Toowoomba, Australia.
Wireless technology and job performance attributes in a healthcare environment
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Wireless technology and job performance attributes in a healthcare environment." Su, Ying (ed.) 7th International Conference on Cooperation and Promotion of Information Resources in Science and Technology (COINFO 2012): Information Sharing in the Cloud. Nanjing, China 23 - 25 Nov 2012 Irvine, CA. United States.
Older people, assistive technologies, and the barriers to adoption: a systematic review
Yusif, Salifu, Soar, Jeffrey and Hafeez-Baig, Abdul. 2016. "Older people, assistive technologies, and the barriers to adoption: a systematic review." International Journal of Medical Informatics. 94, pp. 112-116. https://doi.org/10.1016/j.ijmedinf.2016.07.004
How do students use their mobile devices to support learning? A case study from an Australian regional university
Farley, Helen, Murphy, Angela, Johnson, Chris, Carter, Brad, Lane, Michael, Midgley, Warren, Hafeez-Baig, Abdul, Dekeyser, Stijn and Koronios, Andy. 2015. "How do students use their mobile devices to support learning? A case study from an Australian regional university." Journal of Interactive Media in Education. 15 (1), pp. 1-13. https://doi.org/10.5334/jime.ar
An exploratory qualitative study to identify factors that influence the use of electronic patient journey boards in Queensland health
Gururajan, Raj, Hafeez Baig, Abdul, Sturgess, Julie, Clark, Kevin and Gururajan, Vijaya. 2015. "An exploratory qualitative study to identify factors that influence the use of electronic patient journey boards in Queensland health." Electronic Journal of Health Informatics. 9 (1).
Mobile telehealth technology assessment: Queensland case study
Gururajan, Raj, Little, Alison, Hafeez Baig, Abdul, Chakraborty, Subrata and Wickramasignhe, Nilmini. 2015. "Mobile telehealth technology assessment: Queensland case study." 23rd Australian National Health Informatics Conference (HIC 2015). Brisbane, Australia 03 - 05 Aug 2015 Australia.
Health text analysis: a Queensland Health case study
Gururajan, Raj, Hafeez-Baig, Abdul, Clark, Kevin, Moller, Susan and Sankaran, Prema. 2014. "Health text analysis: a Queensland Health case study." Mathirajan, M. (ed.) 2nd International Conference on Business Analytics and Intelligence (ICBAI 2014). Bangalore, India 18 - 20 Dec 2014 Bangalore, India.
An exploratory case study on employee health and wellbeing: Indian railways case study
Gururajan, Raj, Hafeez-Baig, Abdul, Chennakesav, Srinivas, Thomas, Anil, Prakash, Ram, Krishnan, Dharini and Sankaran, Prema. 2014. "An exploratory case study on employee health and wellbeing: Indian railways case study." Journal of Information Technology & Software Engineering. 4 (1), p. 125. https://doi.org/10.4172/2165-7866.1000125
Mobile learning anytime, anywhere: what are our students doing?
Murphy, Angela, Farley, Helen, Lane, Michael, Hafeez-Baig, Abdul and Carter, Brad. 2014. "Mobile learning anytime, anywhere: what are our students doing?" Australasian Journal of Information Systems. 18 (3), pp. 331-345.
An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environment
Gururajan, Raj and Hafeez-Baig, Abdul. 2014. "An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environment." BMC Medical Informatics and Decision Making. 14 (98), pp. 1-8. https://doi.org/10.1186/1472-6947-14-98
Critical role of 'T-shaped skills & incentive rewards' as determinants for knowledge management enablers: a case of Indian study
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Critical role of 'T-shaped skills & incentive rewards' as determinants for knowledge management enablers: a case of Indian study." Kalloniatis, Christos (ed.) Modern information systems. Rijeka, Croatia. InTech Europe. pp. 133-146
An exploratory study to identify factors that influence the use of electronic patient boards in Queensland Health
Gururajan, Raj, Hafeez-Baig, Abdul, Sturgess, Julie, Clark, Kevin, Gururajan, Vijaya and Moller, Susan. 2013. "An exploratory study to identify factors that influence the use of electronic patient boards in Queensland Health." International Journal of Management & Information Technology. 7 (2), pp. 1033-1041.
An exploration of access to and use of mobile technologies for learning activities among higher education students
Murphy, Angela, Farley, Helen, Midgley, Warren, Carter, Brad, Lane, Michael and Hafeez-Baig, Abdul. 2013. "An exploration of access to and use of mobile technologies for learning activities among higher education students." Research Colloquia and Showcase 2013. Springfield, Australia 12 - 13 Jun 2013 Queensland, Australia.
Listening to the student voice: how are students really using mobile technologies for learning?
Murphy, Angela, Farley, Helen, Johnson, Chris, Lane, Michael, Carter, Brad, Hafeez-Baig, Abdul, Midgley, Warren, Dekeyser, Stijn, Rees, Sharon, Mitchell, Maxine, Doyle, Joanne and Koronios, Andy. 2013. "Listening to the student voice: how are students really using mobile technologies for learning?" Carter, Helen, Gosper, Maree and Hedberg, John (ed.) 30th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education (ASCILITE 2013). Sydney, Australia 01 - 04 Dec 2013
Mobile learning anytime, anywhere: what are our students doing?
Murphy, Angela, Farley, Helen, Lane, Michael, Hafeez-Baig, Abdul and Carter, Brad. 2013. "Mobile learning anytime, anywhere: what are our students doing?" Aisyah, Hepu and Standing, Craig (ed.) 24th Australasian Conference on Information Systems (ACIS 2013). Melbourne, Australia 04 - 06 Dec 2013 Melbourne, Australia.
Expectations, usability, and job satisfaction as determinants for the perceived benefits for the use of wireless technology in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "Expectations, usability, and job satisfaction as determinants for the perceived benefits for the use of wireless technology in healthcare." Bali, Rajeev K., Troshani, Indrit, Goldberg, Steve and Wickramasinghe, Nilmini (ed.) Pervasive health knowledge management. New York, NY. United States. Springer. pp. 305-316
Wireless technology and clinical influences in healthcare setting: an Indian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Wireless technology and clinical influences in healthcare setting: an Indian case study." Guah, Matthew (ed.) Healthcare delivery reform and new technologies: organizational initiatives. Hershey, PA. United States. IGI Global. pp. 55-74
Acoustical design of digital stethoscope for improved performance
Thiagarajan, Raj C., Sankaran, Prema, Hafeez-Baig, Abdul, Elangovan, Kodeeswari and Gururajan, Raj. 2012. "Acoustical design of digital stethoscope for improved performance." Singh, Lakhvinder (ed.) COMSOL Conference India 2012. Bangalore, India 02 - 03 Nov 2012 Burlington, MA. United States.
Does information and communication technology (ICT) facilitate knowledge management activities in the 21st century?
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Does information and communication technology (ICT) facilitate knowledge management activities in the 21st century?" Journal of Software. 7 (11), pp. 2437-2442. https://doi.org/10.4304/jsw.7.11.2437-2442
Role of wireless handheld technology by nurses in healthcare environment
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Role of wireless handheld technology by nurses in healthcare environment." Computer Technology and Application. 3 (8), pp. 550-557.
Phenomena of adoption of wireless handheld devices: a case of healthcare setting
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "Phenomena of adoption of wireless handheld devices: a case of healthcare setting." Muga, Helen E. and Thomas, Ken D. (ed.) Cases on the diffusion and adoption of sustainable development practices. Hershey, PA. United States. IGI Global. pp. 20-43
Principles and pressures in managing student attitudes to innovative mobile learning: a view from an Australian distance-education-intensive university
Hafeez-Baig, Abdul, Gururajan, Raj, Danaher, P. A. and De George-Walker, Linda. 2013. "Principles and pressures in managing student attitudes to innovative mobile learning: a view from an Australian distance-education-intensive university." International Journal of Management in Education. 7 (1/2), pp. 149-162. https://doi.org/10.1504/IJMIE.2013.050818
Feeding back and enhancing authentic learning in quality course assessment design: locating information systems education in rigorous educational research
Hafeez-Baig, Abdul, Gururajan, Raj, Jones, David and Danaher, P. A.. 2012. "Feeding back and enhancing authentic learning in quality course assessment design: locating information systems education in rigorous educational research." Lamp, John (ed.) 23rd Australasian Conference on Information Systems (ACIS 2012). Geelong, Australia 03 - 05 Dec 2012 Geelong, Australia.
Deploying mobile data services: an Australian case study
Tsai, Heng-Sheng, Gururajan, Raj, Kong, Eric, Hafeez-Baig, Abdul and Lin, Meng Kuan. 2012. "Deploying mobile data services: an Australian case study." IT Professional: technology solutions for the enterprise. 14 (5), pp. 22-27. https://doi.org/10.1109/MITP.2012.47
An exploratory study to investigate the effectiveness of PDAs in healthcare: a case of Queensland nurses
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "An exploratory study to investigate the effectiveness of PDAs in healthcare: a case of Queensland nurses." 22nd Australasian Conference on Information Systems (ACIS 2011). Sydney, Australia 29 Nov - 02 Dec 2011 Atlanta, GA. United States.
Student perceptions and uses of wireless handheld devices: implications for implementing blended and mobile learning in an Australian university
Gururajan, Raj, Hafeez-Baig, Abdul, Danaher, P. A. and De George-Walker, Linda. 2011. "Student perceptions and uses of wireless handheld devices: implications for implementing blended and mobile learning in an Australian university." Kitchenham, Andrew (ed.) Models for interdisciplinary mobile learning: delivering information to students. Hershey, PA. United States. IGI Global. pp. 231-246
Pakistani study on the determinants of wireless technology in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Pakistani study on the determinants of wireless technology in healthcare." Computer Technology and Application. 3 (2), pp. 194-200.
Challenges and opportunities for academics adopting an online peer review innovation
Hafeez-Baig, Abdul, De George-Walker, Linda, Gururajan, Raj and Danaher, P. A.. 2011. "Challenges and opportunities for academics adopting an online peer review innovation." Studies in Learning Evaluation Innovation and Development. 8 (1), pp. 26-37.
A confirmatory factor analysis on the views and constructs for knowledge management in India
Gururajan, Raj, Hafeez-Baig, Abdul and Tsai, Heng-Sheng. 2012. "A confirmatory factor analysis on the views and constructs for knowledge management in India." Computer Technology and Application. 3 (1), pp. 98-104.
Preliminary study to investigation the determinants that effect IS/IT outsourcing
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Preliminary study to investigation the determinants that effect IS/IT outsourcing." International Journal of Information and Communication Technology Research. 1 (2), pp. 48-54.
Clinicians' perception of using digital stethoscopes in telehealth platform: Queensland telehealth preliminary study
Soroush, Layla, Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "Clinicians' perception of using digital stethoscopes in telehealth platform: Queensland telehealth preliminary study." Rosemann, Michael (ed.) 21st Australasian Conference on Information Systems (ACIS 2010). Brisbane, Australia 01 - 03 Dec 2010 Brisbane, Australia.
Time management, improved patient expectations and added value contributing to the perceived acceptance of using wireless hand held devices in the Indian healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2008. "Time management, improved patient expectations and added value contributing to the perceived acceptance of using wireless hand held devices in the Indian healthcare." Mills, Annette and Huff, Sid (ed.) 19th Australasian Conference on Information Systems (ACIS 2008). Christchurch, New Zealand 03 - 05 Dec 2008 Christchurch, New Zealand.
Clinical factors and technological barriers as determinants for the intention to use wireless handheld technology in healthcare environment: an Indian case study
Gururajan, Raj, Gururajan, Vijaya and Hafeez-Baig, Abdul. 2008. "Clinical factors and technological barriers as determinants for the intention to use wireless handheld technology in healthcare environment: an Indian case study." Willie, Golden, Thomas, Acton and Kieran, Conboy (ed.) 16th European Conference on Information Systems: Information Systems in an Innovative Knowledge-based Society (ECIS 2008). Galway, Ireland 09 - 11 Jun 2008 Galway, Ireland.
Reactions and perceptions of healthcare professional towards wireless devices in healthcare environment in the developing world: a case of Pakistan
Gururajan, Raj, Hafeez-Baig, Abdul and Kerr, Don. 2007. "Reactions and perceptions of healthcare professional towards wireless devices in healthcare environment in the developing world: a case of Pakistan." Toleman, Mark, Cater-Steel, Aileen and Roberts, Dave (ed.) 18th Australasian Conference on Information Systems (ACIS 2007). Toowoomba, Australia 05 - 07 Dec 2007 Toowoomba, Australia.
Clinical usefulness is the key common determinant of adoption of wireless technology in healthcare for India and Australia
Grist, Shelly, Hafeez-Baig, Abdul, Gururajan, Raj and Khan, Shamim. 2007. "Clinical usefulness is the key common determinant of adoption of wireless technology in healthcare for India and Australia." Archer, Norm, Hassanein, Khaled and Yuan, Yufei (ed.) 6th International Conference on the Management of Mobile Business (ICMB 2007). Toronto, Canada 09 - 11 Jul 2007 Washington, United States.
A framework for the adoption of wireless technology in healthcare: an Indian study
Howard, Angela, Hafeez-Baig, Abdul, Howard, Srecko and Gururajan, Raj. 2006. "A framework for the adoption of wireless technology in healthcare: an Indian study." Spencer, S. and Jenkins, A. (ed.) 17th Australasian Conference on Information Systems (ACIS 2006). Adelaide, Australia 06 - 08 Dec 2006 Australia.
Legal issues and risks impacting wireless workforce
Hafeez-Baig, Abdul and Gururajan, Raj. 2005. "Legal issues and risks impacting wireless workforce." Li, Eldon (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taiwan.
An exploratory study to determine factors impacting outsourcing of information systems in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2005. "An exploratory study to determine factors impacting outsourcing of information systems in healthcare." Eldon, Li (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taiwan.
Clinicians perceptions towards wireless handheld devices: an Australian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Clinicians perceptions towards wireless handheld devices: an Australian case study." Su, Ying and Al-Hakim, Latif (ed.) COINFO 2011: 6th International Conference on Cooperation and Promotion of Information Resources in Science and Technology: Coordinative Innovation and Open Sharing. Hangzhou, China 12 - 14 Nov 2011 Irvine, CA, United States.
Views and constructs for knowledge management in India: a confirmatory factor analysis
Hafeez-Baig, Abdul, Gururajan, Raj and Tsai, Heng-Sheng. 2010. "Views and constructs for knowledge management in India: a confirmatory factor analysis." Chen, Houn-Gee and Liang, Ting-Peng (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Study to investigate the adoption of wireless technology in the Australian healthcare system
Hafeez-Baig, Abdul. 2010. Study to investigate the adoption of wireless technology in the Australian healthcare system. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Knowledge sharing and management for better organisational outcomes: an Indian study
Gururajan, Raj, Tsai, Heng-Sheng, Hafeez-Baig, Abdul and Lin, Meng-Kuan. 2010. "Knowledge sharing and management for better organisational outcomes: an Indian study." Chen, Hong-Mei and Lin, Fu-ren (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment
Hafeez-Baig, Abdul, Gururajan, Raj, Heng Sheng, Tasi and Sankaran, Prema. 2010. "Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/NSS.2010.89
An Exploratory Study to Understand the Drivers and Inhibitors for the Successful Adoption of Wireless Technology in Australian Healthcare Systems
Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "An Exploratory Study to Understand the Drivers and Inhibitors for the Successful Adoption of Wireless Technology in Australian Healthcare Systems." Pease, Wayne, Cooper, Malcolm and Gururajan, Raj (ed.) Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems. Hershey, PA, USA. Medical Information Science Reference (IGI Global). pp. 267-278
A web-based ECG decision support system using multi-touch function to support cardiac diagnosis
Lin, Meng-Kuan, Gururajan, Raj, Mula, Joseph M., Leis, John W. and Hafeez-Baig, Abdul. 2010. "A web-based ECG decision support system using multi-touch function to support cardiac diagnosis." 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology: Information Sharing in U-Era (COINFO'10). Beijing, China 27 - 29 Nov 2010
Wireless handheld device and LAN security issues: a case study
Gururajan, Raj and Hafeez-Baig, Abdul. 2011. "Wireless handheld device and LAN security issues: a case study." Kerr, Don, Gammack, John G. and Bryant, Kay (ed.) Digital business security development: management technologies. Hershey, PA, USA. IGI Global. pp. 129-151
Development of a tele-stethoscope: Indian perspective
Sankaran, Prema, Chandrasekaran, K., Hafeez Baig, Abdul and Moll, Chris Lynton. 2010. "Development of a tele-stethoscope: Indian perspective." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558838
Key common determinants for adoption of wireless technology in healthcare for India and Pakistan: development of a conceptual model
Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "Key common determinants for adoption of wireless technology in healthcare for India and Pakistan: development of a conceptual model." Safran, Charles, Marin, Heimer F. and Reti, Shane R. (ed.) 13th World Congress on Medical and Health Informatics (MEDINFO 2010). Cape Town, South Africa 12 - 15 Sep 2010 Amsterdam, Netherlands. https://doi.org/10.3233/978-1-60750-588-4-342
Experiences and perceptions of learner engagement in blended learning environments: the case of an Australian university
De George-Walker, Linda, Hafeez-Baig, Abdul, Gururajan, Raj and Danaher, Patrick Alan. 2010. "Experiences and perceptions of learner engagement in blended learning environments: the case of an Australian university." Inoue, Yukiko (ed.) Cases on online blended learning technologies in higher education: concepts and practices. Hershey, PA, USA. IGI Global. pp. 23-43
Selected influences on students' uses of wireless handheld devices: an Iranian exploratory case study
Hafeez-Baig, Abdul, Gururajan, Raj, Nazemi, Shamsodin, De George-Walker, Linda and Danaher, P. A.. 2010. "Selected influences on students' uses of wireless handheld devices: an Iranian exploratory case study." Abas, Zoraini Wati, Jung, Insung and Luca, Joseph (ed.) Global Learn Asia Pacific 2010. Penang, Malaysia 17 - 20 May 2010 Chesapeake, VA, United States.
A discussion on the role of knowledge management in aged care
Gururajan, Vijaya, Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "A discussion on the role of knowledge management in aged care." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Australia.
Efficacy and feasibility of a mobile ECG decision support system - a preliminary conceptual model
Lin, Meng-Kuan, Mula, Joseph M., Gururajan, Raj, Leis, John W. and Hafeez-Baig, Abdul. 2010. "Efficacy and feasibility of a mobile ECG decision support system - a preliminary conceptual model." Chen, Houn-Gee and Liang, Ting-Peng (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Organizational, technical and perceived readiness as adoption factors for wireless technology in healthcare: an Australian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Organizational, technical and perceived readiness as adoption factors for wireless technology in healthcare: an Australian case study." Sintchenko, Vitali and Croll, Peter (ed.) Health Informatics Conference (HIC 2009): Frontiers of Health Informatics - Redefining Healthcare. Canberra, Australia 19 - 21 Aug 2009 Melbourne, Australia.
The trial of PDAs in Queensland public hospitals and its effect on patient safety
Bruggemann, Glenn, Gurney, Tiana, Hafeez-Baig, Abdul, March, Judy and Weale, Greg. 2009. "The trial of PDAs in Queensland public hospitals and its effect on patient safety." 2nd Passionate about Practice Conference. Brisbane, Australia 29 - 30 Jul 2009
The practical issues in using existing digital stethoscopes for telehealth
Gurney, Tiana, Stenhouse, Shayne, Gururajan, Raj and Hafeez-Baig, Abdul. 2009. "The practical issues in using existing digital stethoscopes for telehealth." Annual International Conference on Successes and Failures in Telehealth 2009 (SFT-09). Brisbane, Australia 10 - 11 Dec 2009 Brisbane, Australia.
Confirmatory factor analysis to establish determinants of wireless technology in the Indian healthcare
Gururajan, Raj, Gurney, Tiana and Hafeez-Baig, Abdul. 2009. "Confirmatory factor analysis to establish determinants of wireless technology in the Indian healthcare." International Journal of Healthcare Delivery Reform Initiatives. 1 (3), pp. 19-37.
Legal and regulatory issues of implementation of electronic signatures
Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "Legal and regulatory issues of implementation of electronic signatures." 2004 AusCERT: Computer Security: Are we there yet?. Gold Coast, Australia 23 - 27 May 2004 Brisbane, Australia.
Implementation difficulties of electronic signatures in the m-commerce environment
Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "Implementation difficulties of electronic signatures in the m-commerce environment." 3rd International Conference on Information and Management Sciences (IMS2004). Dunhuang, China 05 - 10 Jun 2004 Beijing, China.
Study to investigate the determinants for the use of wireless technology in healthcare setting: a case of Pakistan
Hafeez-Baig, Abdul, Gururajan, Raj, Mula, Joseph M. and Lin, Meng-Kuan. 2009. "Study to investigate the determinants for the use of wireless technology in healthcare setting: a case of Pakistan." Peng, Jie, Al-Hakim, Latif and Chen, Guoqing (ed.) COINFO 2009: Managing Virtual Organisations and Information in the Era of Globalisation. Beijing, China 21 - 23 Nov 2009 Los Alamitos, CA. United States. https://doi.org/10.1109/COINFO.2009.52
Exploratory study to investigate the applicability of existing digital stethoscopes in a telehealth setting
Gurney, T., Hafeez-Baig, A. and Gururajan, R.. 2009. "Exploratory study to investigate the applicability of existing digital stethoscopes in a telehealth setting." Neelakanta, P. S. (ed.) OCOBIAHC 2009: International Conference on Biomedical Instrumentation and Healthcare Engineering. Chennai, India 06 - 08 Aug 2009 Piscataway, NJ, USA.
Trialling wireless handheld devices in a clinical setting: a Queensland case study
Gurney, Tiana, Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Trialling wireless handheld devices in a clinical setting: a Queensland case study." Dhillon, Gurpreet (ed.) CISTM 2009: 7th Annual Conference on Information Science, Technology and Management. Gurgaon, India 13 - 15 Jul 2009 Finland.
Exploratory study to understand the phenomena of adoption of wireless handheld devices in the Australian healthcare system
Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Exploratory study to understand the phenomena of adoption of wireless handheld devices in the Australian healthcare system." Journal of Systems and Information Technology. 11 (1), pp. 43-56. https://doi.org/10.1108/13287260910932403
Online learning with peer-review: an initial study
Gururajan, Raj, Hafeez-Baig, Abdul and Khan, Shamim. 2008. "Online learning with peer-review: an initial study." 2008 World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education (E-Learn 2008). Las Vegas, United States of America 17 - 21 Nov 2008 Chesapeake, VA, United States.
Pakastani healthcare professionals views and opinions about use of wireless handheld devices in healthcare environment
Gururajan, Raj, Hafeez-Baig, Abdul and Kerr, Don. 2008. "Pakastani healthcare professionals views and opinions about use of wireless handheld devices in healthcare environment." Electronic Journal of Health Informatics. 3 (2), pp. 1-10.
Transforming the practice of mobile learning: promoting pedagogical innovation through educational principles and strategies that work
Danaher, Patrick, Gururajan, Raj and Hafeez-Baig, Abdul. 2009. "Transforming the practice of mobile learning: promoting pedagogical innovation through educational principles and strategies that work." Hokyoung, Ryu and Parsons, D. (ed.) Innovative mobile learning: techniques and technologies. Hershey PA, USA. IGI Global. pp. 21-46
Wireless technologies and lifelong learning pedagogies: institutional challenges and opportunities at the University of Southern Queensland
Hafeez-Baig, Abdul and Danaher, Patrick Alan. 2006. "Wireless technologies and lifelong learning pedagogies: institutional challenges and opportunities at the University of Southern Queensland." Orr, Debbie, Nouwens, Fons, Macpherson, Colin, Harreveld, R. E. (Bobby) and Danaher, Patrick Alan (ed.) 4th International Lifelong Learning Conference: Lifelong Learning: Partners, Pathways and Pedagogies. Yeppoon, Australia 13 - 16 Jun 2006 Rockhampton, Australia.
Meanings emerging in the practice of wireless technologies: findings from two academic focus groups at the University of Southern Queensland
Danaher, Patrick Alan and Hafeez-Baig, Abdul. 2007. "Meanings emerging in the practice of wireless technologies: findings from two academic focus groups at the University of Southern Queensland." Fogarty, Roderick (ed.) 3rd International Conference on Pedagogies and Learning. Brisbane, Australia 26 - 28 Sep 2007 Toowoomba, Australia.
Challenges and opportunities in facilitating student engagement and empowerment: perspectives from information systems and education courses at the University of Southern Queensland, Australia
Hafeez-Baig, Abdul. 2007. "Challenges and opportunities in facilitating student engagement and empowerment: perspectives from information systems and education courses at the University of Southern Queensland, Australia." Montgomerie, Craig and Seale, Jane (ed.) ED-MEDIA 2007: World Conference on Educational Multimedia, Hypermedia and Telecommunications 2007. Vancouver, Canada 25 - 29 Jun 2007 Chesapeake, VA, Canada.
An exploratory study to identify the determinants of the wireless handheld devices in higher education: a case of USQ
Hafeez-Baig, Abdul. 2007. "An exploratory study to identify the determinants of the wireless handheld devices in higher education: a case of USQ." Montgomerie, Craig and Seale, Jane (ed.) ED-MEDIA 2007: World Conference on Educational Multimedia, Hypermedia and Telecommunications 2007. Vancouver, Canada 25 - 29 Jun 2007 Chesapeake, VA, United States.
Global implementation of digital stethoscope for telehealth or telemedicine: an Australian case study
Hafeez-Baig, Abdul, Scott, Annette, Sarquis, Colleen, Cockfield, Glenys and Gururajan, Raj. 2007. "Global implementation of digital stethoscope for telehealth or telemedicine: an Australian case study." 5th International Symposium on Management of Technology (ISMOT 2007). Hangzhou, China 01 - 03 Jun 2007 China.
Technology management, data management, improved outcomes, efficiency and software limitation influencing the use of wireless technology for healthcare in Pakistan
Hafeez-Baig, Abdul, Grist, Shelly and Gururajan, Raj. 2007. "Technology management, data management, improved outcomes, efficiency and software limitation influencing the use of wireless technology for healthcare in Pakistan." Lee, Roger, Chowdhury, Morshed U., Ray, Sid and Lee, Thuy (ed.) 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). Melbourne, Australia 11 - 13 Jul 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/ICIS.2007.177
An exploratory study of mobile learning for tertiary education: a discussion with students
Hafeez-Baig, Abdul, Gururajan, Raj and Gururajan, Vijaya. 2006. "An exploratory study of mobile learning for tertiary education: a discussion with students." International Journal of Pedagogies and Learning. 2 (1), pp. 76-88.
Future possibilities for mobile learning technologies and applications at the University of Southern Queensland, Australia: lessons from an academic focus group
Hafeez-Baig, Abdul and Danaher, Patrick Alan. 2007. "Future possibilities for mobile learning technologies and applications at the University of Southern Queensland, Australia: lessons from an academic focus group." Parsons, D. and Ryu, Hokyoung (ed.) 1st International Conference on Mobile Learning Technologies and Applications. Auckland, New Zealand 19 Feb 2007 Auckland, New Zealand.
Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia
Tiong, I. C., Hafeez-Baig, Abdul, Gururajan, Raj and Soar, Jeffrey. 2006. "Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia." Westbrook, J. and Callen, J. (ed.) Health Infomatics Conference 2006: Bridging the Digital Divide: Clinician, Consumer and Computer (HIC 2006). Sydney, Australia 20 - 22 Aug 2006 Melbourne, Australia.
Wireless ehealth applications: are we on the right track?
Gururajan, Raj and Hafeez-Baig, Abdul. 2005. "Wireless ehealth applications: are we on the right track?" Isaias, Pedro, Nunes, Miguel Baptista and Reis, Antonio Palma dos (ed.) IADIS Virtual Multi Conference on Computer Science and Information Systems 2005 (IADIS 2005). Virtual 11 - 29 Apr 2005 United States.
Adoption of wireless handheld technology: a case of Queensland healthcare
Gururajan, Raj, Hafeez-Baig, Abdul and Moloney, Clint. 2005. "Adoption of wireless handheld technology: a case of Queensland healthcare." Yeung, Jeff (ed.) 5th International Conference on Electronic Business: Enhancing Logistics & Supply Chain Competence Through E-Business (ICEB 2005). Hong Kong, China 05 - 09 Dec 2005 Hong Kong, China.