Automated anxiety detection using probabilistic binary pattern with ECG signals

Article

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

Article Title	Automated anxiety detection using probabilistic binary pattern with ECG signals
ERA Journal ID	5039
Article Category	Article
Authors	Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Hong, Tan Jen, March, Sonja, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra
Journal Title	Computer Methods and Programs in Biomedicine
Journal Citation	247
Article Number	108076
Number of Pages	12
Year	2024
Publisher	Elsevier
Place of Publication	Ireland
ISSN	0169-2607
	1872-7565
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.cmpb.2024.108076
Web Address (URL)	https://www.sciencedirect.com/science/article/pii/S0169260724000725
Abstract	Background and aim Anxiety disorder is common; early diagnosis is crucial for management. Anxiety can induce physiological changes in the brain and heart. We aimed to develop an efficient and accurate handcrafted feature engineering model for automated anxiety detection using ECG signals. Materials and methods We studied open-access electrocardiography (ECG) data of 19 subjects collected via wearable sensors while they were shown videos that might induce anxiety. Using the Hamilton Anxiety Rating Scale, subjects are categorized into normal, light anxiety, moderate anxiety, and severe anxiety groups. ECGs were divided into non-overlapping 4- (Case 1), 5- (Case 2), and 6-second (Case 3) segments for analysis. We proposed a self-organized dynamic pattern-based feature extraction function―probabilistic binary pattern (PBP)―in which patterns within the function were determined by the probabilities of the input signal-dependent values. This was combined with tunable q-factor wavelet transform to facilitate multileveled generation of feature vectors in both spatial and frequency domains. Neighborhood component analysis and Chi2 functions were used to select features and reduce data dimensionality. Shallow k-nearest neighbors and support vector machine classifiers were used to calculate four (=2 × 2) classifier-wise results per input signal. From the latter, novel self-organized combinational majority voting was applied to calculate an additional five voted results. The optimal final model outcome was chosen from among the nine (classifier-wise and voted) results using a greedy algorithm. Results Our model achieved classification accuracies of over 98.5 % for all three cases. Ablation studies confirmed the incremental accuracy of PBP-based feature engineering over traditional local binary pattern feature extraction. Conclusions The results demonstrated the feasibility and accuracy of our PBP-based feature engineering model for anxiety classification using ECG signals.
Keywords	combinational majority voting; Probabilistic binary pattern ; ECG-based mood detection ; ECG signal classification ; Feature engineering
Contains Sensitive Content	Does not contain sensitive content
ANZSRC Field of Research 2020	420313. Mental health services
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	Erzurum Technical University, Turkey
	School of Business
	Firat University, Turkey
	Singapore General Hospital, Singapore
	Centre for Health Research
	School of Psychology and Wellbeing
	National Heart Centre, Singapore
	Duke-NUS Medical School, Singapore
	PoliToBIOMed Lab, Italy
	School of Mathematics, Physics and Computing

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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

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

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

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

Stepped-care versus therapist-guided, internet-based cognitive behaviour therapy for childhood and adolescent anxiety: A non-inferiority trial

March, Sonja, Spence, Susan H, Myers, Larry, Ford, Martelle, Smith, Genevieve and Donovan, Caroline L. 2023. "Stepped-care versus therapist-guided, internet-based cognitive behaviour therapy for childhood and adolescent anxiety: A non-inferiority trial." Internet Interventions. 34. https://doi.org/10.1016/j.invent.2023.100675

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

Navigating University: The Design and Evaluation of a Holistic Support Programme for Autistic Students in Higher Education

Brownlow, Charlotte, Martin, Neil, Thompson, Donna-Marie, Dowe, Amelia, Abawi, Ding, Harrison, Jessica and March, Sonja. 2023. "Navigating University: The Design and Evaluation of a Holistic Support Programme for Autistic Students in Higher Education." Education Sciences. 13 (5). https://doi.org/10.3390/educsci13050521

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. 2022. "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

An exploration of trolling behaviours in Australian adolescents: An online survey

Marrington, Jessica Z., March, Evita, Murray, Sarah, Jeffries, Carla, Machin, Tanya and March, Sonja. 2023. "An exploration of trolling behaviours in Australian adolescents: An online survey." PLoS One. 18 (4). https://doi.org/10.1371/journal.pone.0284378

A thematic analysis of the personal factors influencing mental health help-seeking in farmers

Vayro, Caitlin, Brownlow, Charlotte, Ireland, Michael and March, Sonja. 2023. "A thematic analysis of the personal factors influencing mental health help-seeking in farmers." Journal of Rural Health. 39 (2), pp. 374-382. https://doi.org/10.1111/jrh.12705

Short Research Article: Changes in life functioning in a self-help, online program for child and adolescent anxiety

Rowe, Arlen K., Evan, Jocelyn L., Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2023. "Short Research Article: Changes in life functioning in a self-help, online program for child and adolescent anxiety." Child and Adolescent Mental Health. 28 (4), pp. 565-572. https://doi.org/10.1111/camh.12637

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

Mail-out bowel cancer screening: Identifying the behavioural stumbling blocks

Myers, Larry, Goodwin, Belinda, Ireland, Michael, March, Sonya, Aitken, Joanne, Myers L., Goodwin B.C., Ireland M., March S. and Aitken J.. 2022. "Mail-out bowel cancer screening: Identifying the behavioural stumbling blocks." Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer. 31 (5), pp. 816-823. https://doi.org/10.1002/pon.5866

Trajectories of Change in an Open-access Internet-Based Cognitive Behavior Program for Childhood and Adolescent Anxiety: Open Trial

March, Sonja, Batterham, Philip J., Rowe, Arlen, Donovan, Caroline, Calear, Alison L. and Spence, Susan H.. 2021. "Trajectories of Change in an Open-access Internet-Based Cognitive Behavior Program for Childhood and Adolescent Anxiety: Open Trial." JMIR Mental Health. 8 (6). https://doi.org/10.2196/27981

Barriers to home bowel cancer screening

Goodwin, Belinda C., Myers, Larry, Ireland, Michael J., March, Sonja, Ralph, Nicholas, Dunn, Jeff, Chambers, Suzanne and Aitken, Joanne. 2021. "Barriers to home bowel cancer screening." Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer. 30 (10), pp. 1756-1764. https://doi.org/10.1002/pon.5741

Children’s Perspectives on Emotions Informing a Child-Reported Screening Instrument

Zieschank, Kirsty L., Machin, Tanya, Day, Jamin, Ireland, Michael J. and March, Sonja. 2021. "Children’s Perspectives on Emotions Informing a Child-Reported Screening Instrument." Journal of Child and Family Studies. 30 (12), pp. 3105-3120. https://doi.org/10.1007/s10826-021-02086-z

The Supportive Care Needs of Regional and Remote Cancer Caregivers

Stiller, Anna, Goodwin, Belinda C., Crawford-Williams, Fiona, March, Sonja, Ireland, Michael, Aitken, Joanne F., Dunn, Jeff and Chambers, Suzanne K.. 2021. "The Supportive Care Needs of Regional and Remote Cancer Caregivers." Current Oncology. 28 (4), pp. 3041-3057. https://doi.org/10.3390/curroncol28040266

Co-design and qualitative validation of animated assessment item content for a child-reported digital distress screener

Zieschank, Kirsty, Day, Jamin, Ireland, Michael J. and March, Sonja. 2021. "Co-design and qualitative validation of animated assessment item content for a child-reported digital distress screener." Internet Interventions. 24, pp. 1-13. https://doi.org/10.1016/j.invent.2021.100381

Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review

Newton, Amanda S., March, Sonja, Gehring, Nicole D., Rowe, Arlen K. and Radomski, Ashley D.. 2021. "Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review." Journal of Medical Internet Research. 23 (12), pp. 1-27. https://doi.org/10.2196/25012

Support-seeking by cancer caregivers living in rural Australia

Johnston, Elizabeth A., Goodwin, Belinda C., Myers, Larry, March, Sonja, Aitken, Joanne F., Chambers, Suzanne K. and Dunn, Jeff. 2022. "Support-seeking by cancer caregivers living in rural Australia." Australian and New Zealand Journal of Public Health. 46 (6), pp. 850-857. https://doi.org/10.1111/1753-6405.13304

Psychometric Evaluation of a New Digitally Animated Child Self-Report Assessment Instrument: The Interactive Child Distress Screener

Zieschank, Kirsty, Ireland, Michael, J, Day, Jamin and March, Sonja. 2023. "Psychometric Evaluation of a New Digitally Animated Child Self-Report Assessment Instrument: The Interactive Child Distress Screener." Assessment. 30 (3), pp. 907-922. https://doi.org/10.1177/10731911211072907

Survivorship care plans and information for rural cancer survivors

Rowe, Arlen, Crawford-Williams, Fiona, Goodwin, Belinda C., Myers, Larry, Stiller, Anna, Dunn, Jeff, Aitken, Joanne F. and March, Sonja. 2023. "Survivorship care plans and information for rural cancer survivors." Journal of Cancer Survivorship. 17 (2), pp. 441-448. https://doi.org/10.1007/s11764-022-01204-0

Inequity in psychiatric healthcare use in Australia

Hashmi, Rubayyat, Alam, Khorshed, Gow, Jeff, Alam, Khurshid and March, Sonja. 2023. "Inequity in psychiatric healthcare use in Australia ." Social Psychiatry and Psychiatric Epidemiology: the international journal for research in social and genetic epidemiology and mental health services. 58 (4), p. 605–616. https://doi.org/10.1007/s00127-022-02310-1

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

Mental health symptoms in children and adolescents during COVID-19 in Australia

Sicouri, Gemma, March, Sonja, Pellicano, Elizabeth, De Young, Alex C., Donovan, Caroline L., Cobham, Vanessa E., Rowe, Arlen, Brett, Simon, Russell, Jeremy K., Uhlman, Laura and Hudson, Jennifer. 2023. "Mental health symptoms in children and adolescents during COVID-19 in Australia ." Australian and New Zealand Journal of Psychiatry. 57 (2), pp. 213-229. https://doi.org/10.1177/00048674221090174

Understanding parent perspectives on engagement with online youth-focused mental health programs

Muller, Jessica L., Tomlin, Luke, March, Sonja, Jackson, Ben, Budden, Timothy, Law, Kwok Hong and Dimmock, James. 2024. "Understanding parent perspectives on engagement with online youth-focused mental health programs ." Psychology and Health: an international journal. 39 (5), pp. 613-630. https://doi.org/10.1080/08870446.2022.2090561

The quality of life of regional and remote cancer caregivers in Australia

Goodwin, Belinda C., Crawford-Williams, Fiona, Ireland, Michael, March, Sonja, Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2022. "The quality of life of regional and remote cancer caregivers in Australia." European Journal of Cancer Care. 31 (4), pp. 1-12. https://doi.org/10.1111/ecc.13587

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

Transition approaches for autistic young adults: A case series study

Pillay, Yosheen, Brownlow, Charlotte and March, Sonja. 2022. "Transition approaches for autistic young adults: A case series study." PLoS One. 17 (5), pp. 1-20. https://doi.org/10.1371/journal.pone.0267942

Cost-effectiveness analysis of paediatric mental health interventions: a systematic review of model-based economic evaluations

Kularatna, Sanjeewa, Hettiarachchi, Ruvini, Senanayake, Sameera, Murphy, Ciara, Donovan, Caroline, March, Sonja, Kularatna S., Hettiarachchi R., Senanayake S., Murphy C., Donovan C. and March S.. 2022. "Cost-effectiveness analysis of paediatric mental health interventions: a systematic review of model-based economic evaluations." BMC Health Services Research. 22 (1). https://doi.org/10.1186/s12913-022-07939-x

Do family and maternal background matter? A multilevel approach to modelling mental health status of Australian youth using longitudinal data

Hashmi, Rubayyat, Alam, Khorshed, Gow, Jeff and March, Sonja. 2022. "Do family and maternal background matter? A multilevel approach to modelling mental health status of Australian youth using longitudinal data." PLoS One. 17 (4), pp. 1-14. https://doi.org/10.1371/journal.pone.0267191

A health action process approach for developing invitee endorsed interventions to increase mail-out bowel cancer screening

Myers, Larry, Goodwin, Belinda, Ralph, Nicholas, March, Sonja, Myers L., Goodwin B., Ralph N. and March S.. 2022. "A health action process approach for developing invitee endorsed interventions to increase mail-out bowel cancer screening." Applied Psychology: Health and Well-Being. 14 (3), pp. 776-794. https://doi.org/10.1111/aphw.12346

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

COVID-19 Unmasked Global Collaboration Protocol: longitudinal cohort study examining mental health of young children and caregivers during the pandemic

De Young, Alexandra, Vasileva, Mira, Boruszak-Kiziukiewicz, Joanna, Secinti, Dilara Demipence, Christie, Hope, Egberts, Marthe R., Anastassiou-Hadjicharalambous, Xenia, Marsac, Meghan L., Ruiz, Gemma, Alisic, Eva, Cobham, Vanessa, Donavon, Caroline, Hoehn, Elisabeth, March, Sonja, Middeldorp, Christel, Paterson, Rebecca S., Andreas, Petropoulos, Lioupi, Chrysanthi, Lioupis, Matteo, ..., Wamser R.. 2021. "COVID-19 Unmasked Global Collaboration Protocol: longitudinal cohort study examining mental health of young children and caregivers during the pandemic." European Journal of Psychotraumatology. 12 (1). https://doi.org/10.1080/20008198.2021.1940760

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

FAST CBT for pediatric OCD: A multiple-baseline controlled pilot trial of parent training in exposure and response prevention delivered via telehealth

Farrell, Lara J., de Diaz, Natalja A. Nabinger, Mathieu, Sharna, McKenzie, Matthew L., Miyamoto, Taka, Donovan, Caroline L., Waters, Allison M., March, Sonja, Bothma, Nicole, Kroon, Rianca, Simcock, Gabrielle, Ware, Robert S., Selle, Robert R., Storch, Eric A. and Ollendick, Thomas. 2022. "FAST CBT for pediatric OCD: A multiple-baseline controlled pilot trial of parent training in exposure and response prevention delivered via telehealth." Frontiers in Psychology. 13. https://doi.org/10.3389/fpsyg.2022.1009735

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

Preschooler Stressor-Related Thoughts and Worries During the COVID-19 Pandemic: Development and Validation of a Caregiver-Report Instrument

Vasileva, M., Marsac, M. L., Alisic, E., Cobham, V. E., Davis, S. H., Donovan, C., Hildenbrand, A. K., Hoehn, E., March S., Miller, A. B., Smith-Thomas, T., Wamser-Nanney, R. and De Young, A.. 2022. "Preschooler Stressor-Related Thoughts and Worries During the COVID-19 Pandemic: Development and Validation of a Caregiver-Report Instrument." Traumatology. https://doi.org/10.1037/trm0000429

Doctor Workforce Attrition: Doctor Workplace Attrition: An examination of pathways from work demands to organisational commitment

Ireland, Michael, Engel, Michelle, March, Sonja, Parmar, Sonali, Clough, Bonnie, Sharp, Aaron and Moses, Lauren. 2022. "Doctor Workforce Attrition: Doctor Workplace Attrition: An examination of pathways from work demands to organisational commitment ." Asia Pacific Journal of Health Management. 17 (2). https://doi.org/10.24083/apjhm.v17i2.1541

Correction to: Children’s Perspectives on Emotions Informing a Child-Reported Screening Instrument

Zieschank, Kirsty L., Machin, Tanya, Day, Jamin, Ireland, Michael J. and March, Sonja. 2022. "Correction to: Children’s Perspectives on Emotions Informing a Child-Reported Screening Instrument ." Journal of Child and Family Studies. 31 (1), p. 336. https://doi.org/10.1007/s10826-021-02138-4

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

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

Are National Cancer Control Indicators for patient experiences being met in regional and remote Australia? A cross-sectional study of cancer survivors who travelled for treatment

Dunn, Jeff, Goodwin, Belinda, Aitken, Joanne F., March, Sonja, Crawford-Williams, Fiona, Ireland, Michael, Ralph, Nicholas, Zajdlewicz, Leah, Rowe, Arlen and Chambers, Suzanne. 2021. "Are National Cancer Control Indicators for patient experiences being met in regional and remote Australia? A cross-sectional study of cancer survivors who travelled for treatment." BMJ Open. 11 (2), pp. 1-10. https://doi.org/10.1136/bmjopen-2020-042507

Cancer-related help seeking in cancer survivors living in regional and remote Australia

Goodwin, Belinda C., Chambers, Suzanne, Aitken, Joanne, Ralph, Nicholas, March, Sonja, Ireland, Michael, Rowe, Arlen, Crawford-Williams, Fiona, Zajdlewicz, Leah and Dunn, Jeff. 2021. "Cancer-related help seeking in cancer survivors living in regional and remote Australia." Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer. 30 (7), pp. 1068-1076. https://doi.org/10.1002/pon.5643

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

Transition Services for Young Adults on the Autism Spectrum in Australia

Pillay, Yosheen, Brownlow, Charlotte and March, Sonja. 2021. "Transition Services for Young Adults on the Autism Spectrum in Australia." Education and Training in Autism and Developmental Disabilities. 56 (1), pp. 101-111.

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

Deciding to enrol in a cancer trial: a systematic review of qualitative studies

Viljoen, Bianca, Chambers, Suzanne, Dunn, Jeff, Ralph, Nicholas and March, Sonja. 2020. "Deciding to enrol in a cancer trial: a systematic review of qualitative studies." Journal of Multidisciplinary Healthcare. 13, pp. 1257-1281. https://doi.org/10.2147/JMDH.S266281

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

Hashmi, Rubayyat, Alam, Khorshed, Gow, Jeff and March, Sonja. 2021. "Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study." American Journal of Health Promotion. 35 (4), pp. 533-542. https://doi.org/10.1177/0890117120968656

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

Does an Online CBT Program for Anxiety Impact Upon Sleep Problems in Anxious Youth?

Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2017. "Does an Online CBT Program for Anxiety Impact Upon Sleep Problems in Anxious Youth?" Journal of Clinical Child and Adolescent Psychology. 46 (2), pp. 211-221. https://doi.org/10.1080/15374416.2016.1188700

A worrying trend in Social Anxiety: To what degree are worry and its cognitive factors associated with youth Social Anxiety Disorder?

Hearn, Cate S., Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2017. "A worrying trend in Social Anxiety: To what degree are worry and its cognitive factors associated with youth Social Anxiety Disorder?" Journal of Affective Disorders. 208, pp. 33-40. https://doi.org/10.1016/j.jad.2016.09.052

Schools and Natural Disaster Recovery: The Unique and Vital Role That Teachers and Education Professionals Play in Ensuring the Mental Health of Students Following Natural Disasters

Le Brocque, Robyn, De Young, Alexandra, Montague, Gillian, Pocock, Steven, March, Sonja, Triggell, Nikki, Rabaa, Claire and Kenardy, Justin. 2017. "Schools and Natural Disaster Recovery: The Unique and Vital Role That Teachers and Education Professionals Play in Ensuring the Mental Health of Students Following Natural Disasters." Journal of Psychologists and Counsellors in Schools. 27 (1), pp. 1-23. https://doi.org/10.1017/jgc.2016.17

Autism and inclusive practices: mothers speak out

Pillay, Yosheen, Brownlow, Charlotte, March, Sonja, Pillay Y., Brownlow C. and March S.. 2023. "Autism and inclusive practices: mothers speak out." International Journal of Inclusive Education. 27 (4), pp. 419-434. https://doi.org/10.1080/13603116.2020.1842521

Distribution and predictors associated with the use of breast cancer screening services among women in 14 low-resource countries

Mahumud, Rashidul Alam, Gow, Jeff, Keramat, Syed Afroz, March, Sonja, Dunn, Jeff, Alam, Khorshed and Renzaho, Andre M. N.. 2020. "Distribution and predictors associated with the use of breast cancer screening services among women in 14 low-resource countries." BMC Public Health. 20, pp. 1-15. https://doi.org/10.1186/s12889-020-09557-w

“Don’t … Break Down on Tuesday Because the Mental Health Services are Only in Town on Thursday”: A Qualitative Study of Service Provision Related Barriers to, and Facilitators of Farmers’ Mental Health Help‑Seeking

Vayro, Caitlin, Brownlow, Charlotte, Ireland, Michael and March, Sonja. 2021. "“Don’t … Break Down on Tuesday Because the Mental Health Services are Only in Town on Thursday”: A Qualitative Study of Service Provision Related Barriers to, and Facilitators of Farmers’ Mental Health Help‑Seeking." Administration and Policy in Mental Health and Mental Health Services Research. 48 (3), pp. 514-527. https://doi.org/10.1007/s10488-020-01085-4

Implementation Strategies for Interventions Aiming to Increase Participation in Mail-Out Bowel Cancer Screening Programmes: A Realist Review

Myers, Larry, Goodwin, Belinda, Ralph, Nicholas, Castro, Oscar and March, Sonja. 2020. "Implementation Strategies for Interventions Aiming to Increase Participation in Mail-Out Bowel Cancer Screening Programmes: A Realist Review." Frontiers in Oncology. 10, pp. 1-14. https://doi.org/10.3389/fonc.2020.543732

Research Review: Recommendations for reporting on treatment trials for child and adolescent anxiety disorders - an international consensus statement

Creswell, Cathy, Nauta, Maaike H., Hudson, Jennifer L., March, Sonja, Reardon, Tessa, Arendt, Kristian, Bodden, Denise, Cobham, Vanessa E., Donovan, Caroline, Halldorsson, Brynjar, In-Albon, Tina, Ishikawa, Shin-ichi, Johnsen, Daniel Bach, Jolstedt, Maral, de Jong, Rachel, Kreuze, Leonie, Mobach, Lynn, Rapee, Ronald M., Spence, Susan H., ..., Kendall, Philip C.. 2021. "Research Review: Recommendations for reporting on treatment trials for child and adolescent anxiety disorders - an international consensus statement." Journal of Child Psychology and Psychiatry. 62 (3), pp. 255-269. https://doi.org/10.1111/jcpp.13283

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

Internet-delivered cognitive behavior therapy with minimal therapist support for anxious children and adolescents: predictors of response

Spence, Susan H, Prosser, Samantha, March, Sonja and Donovan, Caroline. 2020. "Internet-delivered cognitive behavior therapy with minimal therapist support for anxious children and adolescents: predictors of response." Journal of Child Psychology and Psychiatry. 61 (8), pp. 914-927. https://doi.org/10.1111/jcpp.13257

Stressors and protective factors among regional and metropolitan Australian medical doctors: A mixed methods investigation

Clough, Bonnie A., Ireland, Michael J., Leane, Sheena, March, Sonja, Clough B.A., Ireland M.J., Leane S. and March S.. 2020. "Stressors and protective factors among regional and metropolitan Australian medical doctors: A mixed methods investigation." Journal of Clinical Psychology. 76 (7), pp. 1362-1389. https://doi.org/10.1002/jclp.22940

‘Farming is not Just an Occupation [but] a Whole Lifestyle’: A Qualitative Examination of Lifestyle and Cultural Factors Affecting Mental Health Help-Seeking in Australian Farmers

Vayro, Caitlin, Brownlow, Charlotte, Ireland, Michael and March, Sonja. 2020. "‘Farming is not Just an Occupation [but] a Whole Lifestyle’: A Qualitative Examination of Lifestyle and Cultural Factors Affecting Mental Health Help-Seeking in Australian Farmers." Sociologia Ruralis. 60 (1), pp. 151-173. https://doi.org/10.1111/soru.12274

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

Geographic variations in stage at diagnosis and survival for colorectal cancer in Australia: a systematic review

Crawford-Williams, Fiona, March, Sonja, Goodwin, Belinda C., Ireland, Michael J., Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2019. "Geographic variations in stage at diagnosis and survival for colorectal cancer in Australia: a systematic review." European Journal of Cancer Care. 28 (3), pp. 1-16. https://doi.org/10.1111/ecc.13072

Strategies for increasing participation in mail-out colorectal cancer screening programs: a systematic review and meta-analysis

Goodwin, Belinda C., Ireland, Michael J., March, Sonja, Myers, Larry, Crawford-Williams, Fiona, Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2019. "Strategies for increasing participation in mail-out colorectal cancer screening programs: a systematic review and meta-analysis." Systematic Reviews. 8 (1), pp. 1-11. https://doi.org/10.1186/s13643-019-1170-x

Physical Activity in Peri-Urban Communities: Testing Intentional and Implicit Processes within an Ecological Framework

Olson, Jenny L., Ireland, Michael J., March, Sonja, Biddle, Stuart J. H., Hagger, Martin S., Olson J.L., Ireland M.J., March S., Biddle S.J.H. and Hagger M.S.. 2020. "Physical Activity in Peri-Urban Communities: Testing Intentional and Implicit Processes within an Ecological Framework." Applied Psychology: Health and Well-Being. 12 (2), pp. 357-383. https://doi.org/10.1111/aphw.12182

Not quite city and not quite rural: Active lifestyle beliefs in peri-urban Australians

Olson, Jenny L., March, Sonja, Clough, Bonnie, Biddle, Stuart J. H. and Ireland, Michael. 2019. "Not quite city and not quite rural: Active lifestyle beliefs in peri-urban Australians." Health Promotion Journal of Australia. 30 (S1), pp. 72-84. https://doi.org/10.1002/hpja.234

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

Stakeholder perspectives on evidence for digital mental health interventions: Implications for accreditation systems

Batterham, Philip J., Calear, Alison L., O'Dea, Bridianne, Larsen, Mark E., Kavanagh, David J., Titov, Nickolai, March, Sonja, Hickie, Ian, Teesson, Maree, Dear, Blake F., Reynolds, Julia, Lowinger, Jocelyn, Thornton, Louise and Gorman, Patrick. 2019. "Stakeholder perspectives on evidence for digital mental health interventions: Implications for accreditation systems." Digital Health. 5 (1-7), pp. 1-7. https://doi.org/10.1177/2055207619878069

Social Support as a Predictor of Treatment Adherence and Response in an Open-Access, Self-Help, Internet-delivered Cognitive Behavior Therapy Program for Child and Adolescent Anxiety

Spence, Susan H., March, Sonja and Donovan, Caroline L.. 2019. "Social Support as a Predictor of Treatment Adherence and Response in an Open-Access, Self-Help, Internet-delivered Cognitive Behavior Therapy Program for Child and Adolescent Anxiety." Internet Interventions. 18. https://doi.org/10.1016/j.invent.2019.100268

Ways to use interventions to increase participation in mail-out bowel cancer screening: a systematic review and meta-analysis

Myers, Larry, Goodwin, Belinda, March, Sonja and Dunn, Jeff. 2019. "Ways to use interventions to increase participation in mail-out bowel cancer screening: a systematic review and meta-analysis." Translational Behavioral Medicine. 10 (2), pp. 384-393. https://doi.org/10.1093/tbm/ibz081

Using stepped-care approaches within internet-based interventions for youth anxiety: Three case studies.

March, Sonja, Donovan, Caroline L., Baldwin, Sarah, Ford, Martelle and Spence, Susan H.. 2019. "Using stepped-care approaches within internet-based interventions for youth anxiety: Three case studies." Internet Interventions. 18, pp. 1-13. https://doi.org/10.1016/j.invent.2019.100281

General practitioner endorsement of mail-out colorectal cancer screening: The perspective of nonparticipants

Goodwin, Belinda C., Crawford-Williams, Fiona, Ireland, Michael J., March, Sonja, Goodwin B.C., Crawford-Williams F., Ireland M.J. and March S.. 2020. "General practitioner endorsement of mail-out colorectal cancer screening: The perspective of nonparticipants." Translational Behavioral Medicine. 10 (2), pp. 366-374. https://doi.org/10.1093/tbm/ibz011

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

Geographic variation in compliance With FOBT colorectal cancer screening programs: the role of attitudes toward health and help seeking

Goodwin, Belinda C., March, Sonja, Ireland, Michael, Crawford-Williams, Fiona, Manski, Donna, Ford, Martelle and Dunn, Jeff. 2019. "Geographic variation in compliance With FOBT colorectal cancer screening programs: the role of attitudes toward health and help seeking." Rural and Remote Health. 19 (3), pp. 1-10. https://doi.org/10.22605/RRH4957

Does an online CBT program for anxiety impact upon sleep programs in anxious youth?

Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2018. "Does an online CBT program for anxiety impact upon sleep programs in anxious youth?" Meltzer, Lisa J. (ed.) Sleep and developmental psychopathology. Milton Park, United Kingdom. Routledge. pp. 42-52

New technologies to deliver CBT: computer and web-based programs, mobile applications and virtual reality

Spence, Susan H., March, Sonja and Donovan, Caroline L.. 2019. "New technologies to deliver CBT: computer and web-based programs, mobile applications and virtual reality." Farrell, Lara J., Ollendick, Thomas H. and Muris, Peter (ed.) Innovations in CBT for childhood anxiety, OCD, and PTSD: improving access and outcomes. Cambridge, United Kingdom. Cambridge University Press. pp. 73-105

'I’m not doing that.' An in-depth examination of nonparticipation in mail-out bowel cancer screening programs

Goodwin, Belinda C., March, Sonja, Crawford-Williams, Fiona, Chambers, Suzanne K. and Dunn, Jeff. 2020. "'I’m not doing that.' An in-depth examination of nonparticipation in mail-out bowel cancer screening programs." Translational Behavioral Medicine. 10 (6), pp. 1515-1524. https://doi.org/10.1093/tbm/ibz096

Developing and delivering computer-based CBT for anxiety disorders in young people

Cunningham, Mike J., Donovan, Caroline L. and March, Sonja. 2007. "Developing and delivering computer-based CBT for anxiety disorders in young people." Einstein, Danielle A. (ed.) Innovations and advances in cognitive behaviour therapy. Bowen Hills, Qld, Australia. Australian Academic Press. pp. 83-99

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 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

Large-Scale Dissemination of Internet-Based Cognitive Behavioral Therapy for Youth Anxiety: Feasibility and Acceptability Study

March, Sonja, Spence, Susan H., Donovan, Caroline L. and Kenardy, Justin A.. 2018. "Large-Scale Dissemination of Internet-Based Cognitive Behavioral Therapy for Youth Anxiety: Feasibility and Acceptability Study." Journal of Medical Internet Research. 20 (7). https://doi.org/10.2196/jmir.9211

Inactive lifestyles in peri‐urban Australia: a qualitative examination of social and physical environmental determinants

Olson, Jenny L., March, Sonja, Brownlow, Charlotte, Biddle, Stuart J. H. and Ireland, Michael. 2019. "Inactive lifestyles in peri‐urban Australia: a qualitative examination of social and physical environmental determinants." Health Promotion Journal of Australia. 30 (2), pp. 153-162. https://doi.org/10.1002/hpja.199

What prevents doctors from seeking help for stress and burnout? A mixed-methods investigation among metropolitan and regional-based Australian doctors

Clough, Bonnie A., March, Sonja, Leane, Sheena and Ireland, Michael J.. 2019. "What prevents doctors from seeking help for stress and burnout? A mixed-methods investigation among metropolitan and regional-based Australian doctors." Journal of Clinical Psychology. 75 (3), pp. 418-432. https://doi.org/10.1002/jclp.22707

Navigating the development and dissemination of internet cognitive behavioral therapy (iCBT) for anxiety disorders in children and young people: A consensus statement with recommendations from the #iCBTLorentz Workshop Group

Hill, Claire, Creswell, Cathy, Vigerland, Sarah, Nauta, Maaike, March, Sonja, Donovan, Caroline, Wolters, Lidewij, Spence, Susan H., Martin, Jennifer L., Wozney, Lori, McLellan, Lauren, Kreuze, Leonie, Gould, Karen, Jolstedt, Maral, Nord, Martina, Hudson, Jennifer L., Utens, Elisabeth, Ruwaard, Jeroen, Albers, Casper, ..., Kendall P.C.. 2018. "Navigating the development and dissemination of internet cognitive behavioral therapy (iCBT) for anxiety disorders in children and young people: A consensus statement with recommendations from the #iCBTLorentz Workshop Group." Netherlands. Elsevier. https://doi.org/10.1016/j.invent.2018.02.002

Geographic disparities in previously diagnosed health conditions in colorectal cancer patients are largely explained by age and area level disadvantage

Goodwin, Belinda C., March, Sonja, Ireland, Michael J., Crawford-Williams, Fiona, Ng, Shu-Kay, Baade, Peter D., Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2018. "Geographic disparities in previously diagnosed health conditions in colorectal cancer patients are largely explained by age and area level disadvantage." Frontiers in Oncology. 8, pp. 1-10. https://doi.org/10.3389/fonc.2018.00372

Health literacy and the health status of men with prostate cancer

Goodwin, Belinda C., March, Sonja, Zajdlewicz, Leah, Osborne, Richard H., Dunn, Jeff and Chambers, Suzanne K.. 2018. "Health literacy and the health status of men with prostate cancer." Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer. 27 (10), pp. 2374-2381. https://doi.org/10.1002/pon.4834

Interventions for prostate cancer survivorship: a systematic review of reviews

Crawford-Williams, Fiona, March, Sonja, Goodwin, Belinda C., Ralph, Nicholas, Galvao, Daniel A., Newton, Robert U., Chambers, Suzanne K. and Dunn, Jeff. 2018. "Interventions for prostate cancer survivorship: a systematic review of reviews." Psycho-Oncology: journal of the psychological, social and behavioral dimensions of cancer. 27 (10), pp. 2339-2348. https://doi.org/10.1002/pon.4888

Geographical Variations in the Clinical Management of Colorectal Cancer in Australia: A Systematic Review

Crawford-Williams, Fiona, March, Sonja, Ireland, Michael J., Rowe, Arlen, Goodwin, Belinda, Hyde, Melissa K., Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2018. "Geographical Variations in the Clinical Management of Colorectal Cancer in Australia: A Systematic Review." Frontiers in Oncology. 8, pp. 1-10. https://doi.org/10.3389/fonc.2018.00116

Collaborative development of an open online course: A-Skills online

Brownlow, Charlotte, Dowe, Amelia, March, Sonja, Abawi, Ding, Harrison, Jessica, Ducat, Jacob and Morris, Hillary. 2017. "Collaborative development of an open online course: A-Skills online." USQ Learning and Teaching Celebration (2017). Toowoomba, Australia Dec 2017

A-Skills online: supportive peer mentoring in higher education

Dowe, Amelia, Harrison, Jessica, Brownlow, Charlotte, March, Sonja, Thompson, Donna-Marie, O'Dwyer, John, Abawi, Ding, Ducat, Jacob and Morris, Hillary. 2017. "A-Skills online: supportive peer mentoring in higher education." Asia Pacific Autism Conference (APAC17). Sydney, Australia 07 - 09 Sep 2017

Cancer care in regional Australia from the health professional's perspective

Crawford-Williams, Fiona, Goodwin, Belinda, March, Sonja, Ireland, Michael J., Hyde, Melissa K., Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2018. "Cancer care in regional Australia from the health professional's perspective." Supportive Care in Cancer. 26 (10), pp. 3507-3515. https://doi.org/10.1007/s00520-018-4218-x

Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey

March, Sonja, Day, Jamin, Ritchie, Gabrielle, Rowe, Arlen, Gough, Jeffrey, Hall, Tanya, Yuen, Chin Yan Jackie, Donovan, Caroline Leanne and Ireland, Michael. 2018. "Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey." Journal of Medical Internet Research. 20 (2). https://doi.org/10.2196/jmir.9109

The Interactive Child Distress Screener: development and preliminary feasibility testing

March, Sonja, Day, Jamin, Zieschank, Kirsty and Ireland, Michael. 2018. "The Interactive Child Distress Screener: development and preliminary feasibility testing." JMIR mHealth and uHealth. 6 (4), pp. 1-15. https://doi.org/10.2196/mhealth.9456

What’s the Worry with Social Anxiety? Comparing Cognitive Processes in Children with Generalized Anxiety Disorder and Social Anxiety Disorder

Hearn, Cate S., Donovan, Caroline L., Spence, Susan H., March, Sonja and Holmes, Monique C.. 2017. "What’s the Worry with Social Anxiety? Comparing Cognitive Processes in Children with Generalized Anxiety Disorder and Social Anxiety Disorder." Child Psychiatry and Human Development. 48 (5), pp. 786-795. https://doi.org/10.1007/s10578-016-0703-y

Can we improve parent attitudes and intentions to access computer-based therapies for their children and adolescents?

Sweeney, Grace M., Donovan, Caroline L., March, Sonja and Laurenson, Sandra D.. 2017. "Can we improve parent attitudes and intentions to access computer-based therapies for their children and adolescents?" Child and Adolescent Mental Health. 22 (3), pp. 155-162. https://doi.org/10.1111/camh.12180

Psychosocial interventions for managing occupational stress and burnout among medical doctors: a systematic review

Clough, Bonnie A., March, Sonja, Chan, Raymond J., Casey, Leanne M., Phillips, Rachel and Ireland, Michael J.. 2017. "Psychosocial interventions for managing occupational stress and burnout among medical doctors: a systematic review." Systematic Reviews. 6, pp. 1-19. https://doi.org/10.1186/s13643-017-0526-3

Efficacy of an internet-based CBT program for children with comorbid High Functioning Autism Spectrum Disorder and anxiety: A randomised controlled trial

Conaughton, Rebecca J., Donovan, Caroline L. and March, Sonja. 2017. "Efficacy of an internet-based CBT program for children with comorbid High Functioning Autism Spectrum Disorder and anxiety: A randomised controlled trial." Journal of Affective Disorders. 218, pp. 260-268. https://doi.org/10.1016/j.jad.2017.04.032

Generic versus disorder specific cognitive behavior therapy for social anxiety disorder in youth: A randomized controlled trial using internet delivery

Spence, Susan H., Donovan, Caroline L., March, Sonja, Kenardy, Justin A. and Hearn, Cate S.. 2017. "Generic versus disorder specific cognitive behavior therapy for social anxiety disorder in youth: A randomized controlled trial using internet delivery." Behaviour Research and Therapy. 90, pp. 41-57. https://doi.org/10.1016/j.brat.2016.12.003

Farmers tell us how to help improve their mental health help-seeking

Vayro, C., Brownlow, C., Ireland, M. and March, S.. 2017. "Farmers tell us how to help improve their mental health help-seeking." 9th Australian Rural and Remote Mental Health Symposium. Albury, Australia 11 - 13 Oct 2017 Nerang, Qld, Australia.

Evidence for retarded extinction of aversive learning in anxious children

Liberman, Lisa C., Lipp, Ottmar V., Spence, Susan H. and March, Sonja. 2006. "Evidence for retarded extinction of aversive learning in anxious children." Behaviour Research and Therapy. 44 (10), pp. 1491-1502. https://doi.org/10.1016/j.brat.2005.11.004

The feasibility and outcome of clinic plus internet delivery of cognitive–behavior therapy for childhood anxiety

Spence, Susan H., Holmes, Jane M., March, Sonja and Lipp, Ottmar V.. 2006. "The feasibility and outcome of clinic plus internet delivery of cognitive–behavior therapy for childhood anxiety." Journal of Consulting and Clinical Psychology. 74 (3), pp. 614-621. https://doi.org/10.1037/0022-006X.74.3.614

Logging into therapy: Adolescent perceptions of online therapies for mental health problems

Sweeney, Grace M., Donovan, Caroline L., March, Sonja and Forbes, Yvette. 2019. "Logging into therapy: Adolescent perceptions of online therapies for mental health problems." Internet Interventions. 15, pp. 93-99. https://doi.org/10.1016/j.invent.2016.12.001

Do worry and its associated cognitive variables alter following CBT treatment in a youth population with Social Anxiety Disorder? Results from a randomized controlled trial

Hearn, Cate S., Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2018. "Do worry and its associated cognitive variables alter following CBT treatment in a youth population with Social Anxiety Disorder? Results from a randomized controlled trial." Journal of Anxiety Disorders. 53, pp. 46-57. https://doi.org/10.1016/j.janxdis.2017.11.005

Socio-demographic factors drive regional differences in participation in the National Bowel Cancer Screening Program – An ecological analysis

Sun, Jiandong, March, Sonja, Ireland, Michael J., Crawford-Williams, Fiona, Goodwin, Belinda, Hyde, Melissa K., Chambers, Suzanne K., Aitken, Joanne F. and Dunn, Jeff. 2018. "Socio-demographic factors drive regional differences in participation in the National Bowel Cancer Screening Program – An ecological analysis." Australian and New Zealand Journal of Public Health. 42 (1), pp. 92-97. https://doi.org/10.1111/1753-6405.12722

A systematic review of geographical differences in management and outcomes for colorectal cancer in Australia

Ireland, Michael J., March, Sonja, Crawford-Williams, Fiona, Cassimatis, Mandy, Aitken, Joanne F., Hyde, Melissa K., Chambers, Suzanne K., Sun, Jiandong and Dunn, Jeff. 2017. "A systematic review of geographical differences in management and outcomes for colorectal cancer in Australia." BMC Cancer. 17 (1). https://doi.org/10.1186/s12885-017-3067-1

A randomized controlled trial of an audio-based treatment program for child anxiety disorders

Infantino, Alyssa, Donovan, Caroline L. and March, Sonja. 2016. "A randomized controlled trial of an audio-based treatment program for child anxiety disorders." Behaviour Research and Therapy. 79, pp. 35-45. https://doi.org/10.1016/j.brat.2016.02.007

Development of the SOSS-D: a scale to measure stigma of occupational stress and burnout in medical doctors

Clough, Bonnie A., Ireland, Michael J. and March, Sonja. 2018. "Development of the SOSS-D: a scale to measure stigma of occupational stress and burnout in medical doctors." Journal of Mental Health. 28 (1), pp. 26-33. https://doi.org/10.1080/09638237.2017.1370642

Farmers are not seeking help: what does service provision have to do with it?

Vayro, C., Brownlow, C., Ireland, M. and March, S.. 2017. "Farmers are not seeking help: what does service provision have to do with it?" 14th World Rural Health Conference (Wonca 2017). Cairns, QLD 29 Apr - 02 May 2017

Farmers aren't seeking help for mental health: their partners tell us why

Vayro, Caitlin, Brownlow, Charlotte, Ireland, Michael and March, Sonja. 2017. "Farmers aren't seeking help for mental health: their partners tell us why." Coleman, Leanne (ed.) 14th National Rural Health Conference. Cairns, Australia 26 - 29 Mar 2017 Canberra, Australia.

Stories from Queensland farmers: 'why we don't seek help for mental health'

Vayro, Caitlin, Brownlow, Charlotte, Ireland, Michael and March, Sonja. 2016. "Stories from Queensland farmers: 'why we don't seek help for mental health'." 8th Rural and Remote Mental Health Symposium (2016). Kingscliff, Australia 03 - 04 Nov 2016

Online therapy for youth anxiety works! An overview of the evidence for brave-online and predictors of therapy outcome

March, S., Donovan, C., Spence, S., Anderson, R., Prosser, S. and Kenardy, J.. 2012. "Online therapy for youth anxiety works! An overview of the evidence for brave-online and predictors of therapy outcome." Garralda, Elena and Raynaud, Jean-Philippe (ed.) 20th World Congress of the International Association of Child and Adolescent Psychiatry and Allied Professionals (IACAPAP 2012): Brain, Mind and Development. Paris, France 21 - 25 Jul 2012 Cedex, France. https://doi.org/10.1016/j.neurenf.2012.05.554

Online therapy for youth anxiety works, but does diagnostic profile predict outcome?

March, S., Spence, S., Donovan, C., Anderson, R., Prosser, S. and Kenardy, J.. 2012. "Online therapy for youth anxiety works, but does diagnostic profile predict outcome?" Hirakis, Eliana (ed.) 35th National Conference of the Australian Association for Cognitive and Behaviour Therapy (AACBT 2012): Innovations in Self-Care and Resiliency: Promoting Empowerment and Well Being. Gold Coast, Australia 17 - 21 Oct 2012 Georges Hall, Australia.

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

Internet-based therapies for child and adolescent emotional and behavioural problems

Spence, Susan H., March, Sonja, Vigerland, Sarah and Serlachius, Eva. 2016. "Internet-based therapies for child and adolescent emotional and behavioural problems." Lindefors, Nils and Andersson, Gerhard (ed.) Guided internet-based treatments in psychiatry. Switzerland. Springer. pp. 197-217

Pilot randomized controlled trial of a novel web-based intervention to prevent posttraumatic stress in children following medical events

Kassam-Adams, Nancy, Marsac, Meghan L., Kohser, Kristen L., Kenardy, Justin, March, Sonja and Winston, Flaura K.. 2016. "Pilot randomized controlled trial of a novel web-based intervention to prevent posttraumatic stress in children following medical events." Journal of Pediatric Psychology. 41 (1), pp. 138-148. https://doi.org/10.1093/jpepsy/jsv057

Feasibility of a screening program for at-risk children following accidental injury

March, Sonja, Kenardy, Justin A., Cobham, Vanessa E., Nixon, Reginald D. V., McDermott, Brett and De Young, Alexandra. 2015. "Feasibility of a screening program for at-risk children following accidental injury." Journal of Traumatic Stress. 28 (1), pp. 34-40. https://doi.org/10.1002/jts.21981

Systematic, theoretically grounded development and feasibility testing of an innovative, preventive web-based game for children exposed to acute trauma

Marsac, Meghan L., Winston, Flaura K., Kohser, Kristen L., Kenardy, Justin, Hildenbrand, Aimee K., March, Sonja and Kassam-Adams, Nancy. 2015. "Systematic, theoretically grounded development and feasibility testing of an innovative, preventive web-based game for children exposed to acute trauma." Clinical Practice in Pediatric Psychology. 3 (1), pp. 12-24. https://doi.org/10.1037/cpp0000080

A new method for assessing content validity in model-based creation and iteration of ehealth interventions

Kassam-Adams, Nancy, Marsac, Meghan L., Kohser, Kirsten L., Kenardy, Justin A., March, Sonja and Winston, Flaura K.. 2015. "A new method for assessing content validity in model-based creation and iteration of ehealth interventions." Journal of Medical Internet Research. 17 (4). https://doi.org/10.2196/jmir.3811

Australian mental health worker attitudes towards cCBT: what is the role of knowledge? Are there differences? Can we change them?

Donovan, Caroline L., Poole, Catherine, Boyes, Natasha, Redgate, Jennie and March, Sonja. 2015. "Australian mental health worker attitudes towards cCBT: what is the role of knowledge? Are there differences? Can we change them?" Internet Interventions. 2 (4), pp. 372-381. https://doi.org/10.1016/j.invent.2015.09.001

Logging into therapy: parent attitudes and intentions to use computer-based therapies for youth mental health

Sweeney, Grace M., Donovan, Caroline L., March, Sonja and Laurenson, Sandra D.. 2015. "Logging into therapy: parent attitudes and intentions to use computer-based therapies for youth mental health." Internet Interventions. 2 (4), pp. 437-445. https://doi.org/10.1016/j.invent.2015.11.001

Innovative mental health solutions for regional well-being and resilience

March, Sonja, Ireland, Michael, Brownlow, Charlotte, Goh, Hong Eng, Antonio, Amy, Tehan, Gerry and Keppell, Mike. 2014. "Innovative mental health solutions for regional well-being and resilience." Keppell, Mike and Reushle, Shirley (ed.) 2nd Digital Rural Futures Conference 2014. Toowoomba, Australia 25 - 27 Jun 2014 Toowoomba, Australia.

Computer-based treatment programs for youth anxiety: a systematic review

Donovan, Caroline L. and March, Sonja. 2014. "Computer-based treatment programs for youth anxiety: a systematic review." Psychopathology Review. 1 (1), pp. 130-156. https://doi.org/10.5127/pr.033613

Child and adolescent characteristics that impact on therapy

Donovan, Caroline L. and March, Sonja. 2014. "Child and adolescent characteristics that impact on therapy." Sbularti, Elizabeth S.., Lyneham, Heidi J., Schniering, Carolyn A. and Rapee, Ronald M. (ed.) Evidence-based CBT for anxiety and depression in children and adolescents: a competencies based approach. London, United Kingdom. John Wiley & Sons. pp. 49-62

Assessing trauma-related symptoms in children and adolescents

March, Sonja, De Young, Alexandra, Dow, Belinda and Kenardy, Justin. 2012. "Assessing trauma-related symptoms in children and adolescents." Beck, J. Gayle and Sloan, Denise M. (ed.) The Oxford handbook of traumatic stress disorders. New York, NY. United States. Oxford University Press. pp. 262-281

Internet treatment of youth

March, Sonja, Spence, Susan H. and Donovan, Caroline L.. 2014. "Internet treatment of youth." Emmelkamp, Paul and Ehring, Thomas (ed.) The Wiley handbook of anxiety disorders. Chichester, West Sussex. United Kingdom. John Wiley & Sons. pp. 1297-1309

The efficacy of a group-based, disorder-specific treatment program for childhood GAD: a randomized controlled trial

Holmes, Monique C., Donovan, Caroline L., Farrell, Lara J. and March, Sonja. 2014. "The efficacy of a group-based, disorder-specific treatment program for childhood GAD: a randomized controlled trial." Behaviour Research and Therapy. 61, pp. 122-135. https://doi.org/10.1016/j.brat.2014.08.002

Online CBT in the treatment of child and adolescent anxiety disorders: Issues in the development of BRAVE-ONLINE and two case illustrations

Spence, Susan H., Donovan, Caroline L., March, Sonja, Gamble, Amanda, Anderson, Renee, Prosser, Samantha, Kercher, Amy, Kenardy, Justin, Spence S., Donovan C., March S., Gamble A., Anderson R., Prosser S., Kercher A. and Kenardy J.. 2008. "Online CBT in the treatment of child and adolescent anxiety disorders: Issues in the development of BRAVE-ONLINE and two case illustrations." Behavioural and Cognitive Psychotherapy. 36 (4), pp. 411-430. https://doi.org/10.1017/S135246580800444X

The efficacy of an internet-based cognitive-behavioral therapy intervention for child anxiety disorders

March, Sonja, Spence, Susan H. and Donovan, Caroline L.. 2009. "The efficacy of an internet-based cognitive-behavioral therapy intervention for child anxiety disorders." Journal of Pediatric Psychology. 34 (5), pp. 474-487. https://doi.org/10.1093/jpepsy/jsn099

Protocol for a randomised controlled trial of risk screening and early intervention comparing child- and family-focused cognitive-behavioural therapy for PTSD in children following accidental injury

Kenardy, Justin, Cobham, Vanessa, Nixon, Reginald D. V., McDermott, Brett and March, Sonja. 2010. "Protocol for a randomised controlled trial of risk screening and early intervention comparing child- and family-focused cognitive-behavioural therapy for PTSD in children following accidental injury." BMC Psychiatry. 10, pp. 92-100. https://doi.org/10.1186/1471-244X-10-92

A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety

Spence, Susan H., Donovan, Caroline L., March, Sonja, Gamble, Amanda, Anderson, Renee E., Prosser, Samantha, Kenardy, Justin, Spence S.H., Donovan C.L., March S., Gamble A., Anderson R.E., Prosser S. and Kenardy J.. 2011. "A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety." Journal of Consulting and Clinical Psychology. 79 (5), pp. 629-642. https://doi.org/10.1037/a0024512

Working alliance in online cognitive behavior therapy for anxiety disorders in youth: Comparison with clinic delivery and its role in predicting outcome

Anderson, Renee E. E., Spence, Susan H., Donovan, Caroline L., March, Sonja, Prosser, Samantha, Kenardy, Justin, Anderson R.E.E., Spence S.H., Donovan C.L., March S., Prosser S. and Kenardy J.. 2012. "Working alliance in online cognitive behavior therapy for anxiety disorders in youth: Comparison with clinic delivery and its role in predicting outcome." 5th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII 2012). Sydney, Australia 06 - 08 Apr 2011 Toronto, ON. Canada. JMIR Publications Inc.. https://doi.org/10.2196/jmir.1848

Online CBT for preschool anxiety disorders: a randomised control trial

Donovan, Caroline L. and March, Sonja. 2014. "Online CBT for preschool anxiety disorders: a randomised control trial." Behaviour Research and Therapy. 58, pp. 24-35. https://doi.org/10.1016/j.brat.2014.05.001

Application of an internet-based game for secondary prevention of posttraumatic stress following acute medical events

Marsac, Meghan, Kohser, Kristen, Kenardy, Justin, March, Sonja, Winston, Flaura and Kassam-Adams, Nancy. 2014. "Application of an internet-based game for secondary prevention of posttraumatic stress following acute medical events." Society of Pediatric Psychology Annual Conference (2014). Philadelphia, United States 27 - 29 Mar 2014

Does diagnostic profile predict outcome for online CBT for youth anxiety?

March, Sonja, Spence, Sue, Donovan, Caroline and Kenardy, Justin. 2013. "Does diagnostic profile predict outcome for online CBT for youth anxiety?" 6th Scientific Meeting of International Society for Research on Internet Interventions. Chicago, United States 16 - 18 May 2013

Using a web-based game to prevent posttraumatic stress in children following medical events: design of a randomized controlled trial

Marsac, Meghan L., Kohser, Kristen L., Winston, Flaura K., Kenardy, Justin, March, Sonja and Kassam-Adams, Nancy. 2013. "Using a web-based game to prevent posttraumatic stress in children following medical events: design of a randomized controlled trial." European Journal of Psychotraumatology. 4, p. 21311. https://doi.org/10.3402/ejpt.v4i0.21311

Using new technologies to deliver cognitive behaviour therapy with children and adolescents

Donovan, Caroline L., Spence, Susan H. and March, Sonja. 2013. "Using new technologies to deliver cognitive behaviour therapy with children and adolescents." Graham, Philip and Reynolds, Shirley (ed.) Cognitive behaviour therapy for children and families. Cambridge, United Kingdom. Cambridge University Press. pp. 351-370

Does diagnostic complexity predict response to online interventions for youth anxiety?

March, Sonja, Spence, Susan, Donovan, Caroline and Kenardy, Justin. 2013. "Does diagnostic complexity predict response to online interventions for youth anxiety?" Mohr, David C. (ed.) 6th International Society for Research on Internet Interventions Conference (ISRII 2013): Behavioral Intervention Technologies for a Healthy Future: From Design to Dissemination. Chicago, United States 16 - 18 May 2013 Charlottesville, VA. United States.

Online CBT for youth anxiety: extending BRAVE-ONLINE into the UK context

March, S., Spence, S. and Donovan, C.. 2012. "Online CBT for youth anxiety: extending BRAVE-ONLINE into the UK context." Essau, Cecilia A. (ed.) 7th International Conference on Child and Adolescent Psychopathology: Open Spaces, Open Minds. London, United Kingdom 16 - 18 Jul 2012 London, United Kingdom.

Involving parents in indicated early intervention for childhood PTSD following accidental injury

Cobham, Vanessa E., March, Sonja, De Young, Alexandra, Leeson, Fiona, Nixon, Reginald, McDermott, Brett and Kenardy, Justin. 2012. "Involving parents in indicated early intervention for childhood PTSD following accidental injury." Clinical Child and Family Psychology Review. 15 (4), pp. 345-363. https://doi.org/10.1007/s10567-012-0124-9