A review of automated sleep disorder detection
Article
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
| Article Title | A review of automated sleep disorder detection |
|---|---|
| ERA Journal ID | 5040 |
| Article Category | Article |
| Authors | Xu, Shuting, Faust, Oliver, Seoni, Silvia, Chakraborty, Subrata, Barua, Prabal Datta, Loh, Hui Wen, Elphick, Heather, Molinari, Filippo and Acharya, U. Rajendra |
| Journal Title | Computers in Biology and Medicine |
| Journal Citation | 150 |
| Article Number | 106100 |
| Number of Pages | 20 |
| Year | 2022 |
| Publisher | Elsevier |
| Place of Publication | United Kingdom |
| ISSN | 0010-4825 |
| 1879-0534 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compbiomed.2022.106100 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0010482522008083 |
| Abstract | Automated sleep disorder detection is challenging because physiological symptoms can vary widely. These variations make it difficult to create effective sleep disorder detection models which support hu-man experts during diagnosis and treatment monitoring. From 2010 to 2021, authors of 95 scientific papers have taken up the challenge of automating sleep disorder detection. This paper provides an expert review of this work. We investigated whether digital technology and Artificial Intelligence (AI) can provide automated diagnosis support for sleep disorders. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines during the content discovery phase. We compared the performance of proposed sleep disorder detection methods, involving differ-ent datasets or signals. During the review, we found eight sleep disorders, of which sleep apnea and insomnia were the most studied. These disorders can be diagnosed using several kinds of biomedical signals, such as Electrocardiogram (ECG), Polysomnography (PSG), Electroencephalogram (EEG), Electromyogram (EMG), and snore sound. Subsequently, we established areas of commonality and distinctiveness. Common to all reviewed papers was that AI models were trained and tested with labelled physiological signals. Looking deeper, we discovered that 24 distinct algorithms were used for the detection task. The nature of these algorithms evolved, before 2017 only traditional Machine Learning (ML) was used. From 2018 onward, both ML and Deep Learning (DL) methods were used for sleep disorder detection. The strong emergence of DL algorithms has considerable implications for future detection systems because these algorithms demand significantly more data for training and testing when compared with ML. Based on our review results, we suggest that both type and amount of labelled data is crucial for the design of future sleep disorder detection systems because this will steer the choice of AI algorithm which establishes the desired decision support. As a guiding principle, more labelled data will help to represent the variations in symptoms. DL algorithms can extract information from these larger data quantities more effectively, therefore; we predict that the role of these algorithms will continue to expand. |
| Keywords | Automated detection; Biomedical signals processing; Deep learning; Insomnia: artificial intelligence; Machine learning; Sleep apnea; Sleep disorder detection; Sleep disorders |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400306. Computational physiology |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Cogninet Australia, Australia |
| Anglia Ruskin University, United Kingdom | |
| Polytechnic University of Turin, Italy | |
| University of New England | |
| University of Technology Sydney | |
| School of Business | |
| Singapore University of Social Sciences (SUSS), Singapore | |
| Sheffield Children’s NHS Foundation Trust, United Kingdom | |
| Ngee Ann Polytechnic, Singapore | |
| Asia University, Taiwan |
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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/diagnostics13020226PS-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-zAutomated 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/s00521-023-08407-1A 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.2023.3267125Deep 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.16244An 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/s10489-022-03490-8Deep 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.2023.107775EpilepsyNet: 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.2023.107312Automated 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.2022.105602INSOMNet: 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.2023.104028FGPat18: 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.2023.104927ALEC: 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.2023.106841Application 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.2023.101898SchizoNET: 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/acbc06An 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.2023.106676Adazd-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.2023.110858Prognosis 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-wSGC-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/s10489-022-04209-5Skin 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.2023.107408Automated 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. 2023. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-023-10005-9PFP-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/s10278-023-00889-8ExHiF: 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.2023.103971Application 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.2023.3294473Uncertainty 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.2022.107308Endoscopy, 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.2022.12.002Automated 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.2023.106548Automated 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.2023.106998Emotion 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.2023.107450Development 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/s23146585FFCAEs: 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.22820Most 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.2023.103297Automated 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.2022.11.005Automated 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/s10278-023-00827-8Swin-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-wPrimate 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/s11571-022-09859-2An 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.2023.103956Application 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/diagnostics13050824Automated 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.2023.120306Automated 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/s00500-023-08230-9CCPNet136: 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/acb03cNFSDense201: 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/s00521-023-08825-1Multilevel 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/s13042-022-01718-0Novel 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/s00521-022-07999-4LSGP-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/s23167032Performance 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.22843Swarm 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/s23031466Explainable 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.2023.120089UncertaintyFuseNet: 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.2022.09.023Hercules: 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.2022.3168887Diagnosis 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.16131An 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.2022.106438Application 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. https://doi.org/10.1111/exsy.12957A 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/s22052007Mental 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/10.1080/20479700.2022.2130645Novel 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.2022.06.004Role 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/informatics9020034Heart 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.2022.105407Exemplar 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.2022.102274DesPatNet25: 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.2021.116447Automated 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/diagnostics12081975Automated 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.2022.105525An 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.2022.105599CGP17Pat: 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/healthcare10040643Application 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.2022.106677EPSPatNet86: 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/ac59dcAn 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.2023.105821Automated 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.2022.107320Swin-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.2022.101158Role 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/s21238045A 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.2022.105722Automated 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.2022.117407Automated 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.2022.103895L-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/diagnostics12102510Application 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.2022.107161Development 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/s00521-022-07613-7Automated 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/s41598-022-21380-4Automated 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.2022.104055Remote 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." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485FedStack: 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.2022.109929Novel 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.2022.107030Introductory 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/su141711070A 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.2021.116464Application 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.2021.11.020Automated 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.2022.970993Automated 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/informatics9010004Use 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/diagnostics12102508Tetromino 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.2021.102210Development 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/s00521-021-06678-0Assessment 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.2022.07.001Attention-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.2022.105335Explainable 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.2022.08.005An 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.2022.106053Detection 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.2021.103417An 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/ijerph19127176Automated 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.2022.105364Pulse 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/ac98f0Automated 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.2022.105224An 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. 2022. "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. https://doi.org/10.1111/exsy.12939Automated 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.2022.101026MCUa: 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.2021.3107446An 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.2022.105554Electrochemical 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.2022.3207207Deep 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/10.1155/2022/3560507Automated 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/ijerph19074014Feature-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.22646Automated 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.2022.103811Application 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.2021.106541Automated 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.2022.105594Automatic 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.2022.999605RLMD-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/10.1155/2022/8733632Tumor 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.16086Development 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/computation10010008Transfer 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.2021.11.004RF-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/s41598-022-15374-5Multi-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.2022.06.003Explainable 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.2022.106231The 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.2022.05.008Aleatory-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.2022.105246Applications 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.2022.07.004Application 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/ac7fd9Artificial 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.2022.110591Hyp-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.2022.06.001Novel 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/jimaging8040102RESCOVIDTCNnet: 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.2022.117410Automated 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-yEfficient 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/s12652-021-03284-9Intelligent 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.0278364Diagnosis 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.12472Accurate 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.2022.105311Hybrid 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.12573Interpretation 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.2021.106609Deep 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.2022.108275Gabor 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.2022.3228263Application 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/diagnostics12102535Automated 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/s10489-021-02422-2Automated 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.2022.106646Decision 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.12773Automated 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/s10489-021-02597-8DKPNet41: 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.2022.103870Automated 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.2021.105120ViVGG19: 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.2022.103864PFP-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/10.1155/2022/6034971Explainable 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.2022.105550Automated 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.. 2022. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. https://doi.org/10.1080/20479700.2022.2141694Artificial 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/ijerph19031192Artificial 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. 2022. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-022-09904-0Hybrid 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/ijerph19041939Hamlet-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/diagnostics12123181Fusion 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.12947An 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/app12104920A 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.2022.108897TMP19: 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/diagnostics12102544A 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.2018.00036Application 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/s21217034A 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.2021.107419Automated 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-yAutomated 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.2021.106010Future 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.22552A 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/BESC51023.2020.9348322Application 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.2021.02.006Deep 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.2021.104569Development 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/s00500-021-05687-4Automated 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/ijerph18126499Application 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.2021.01.088Automated 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.2021.115175Automated 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.2020.106547Automated 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.2021.105941Artificial 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.2020.12.002Accurate 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/s12652-020-02536-4Corrigendum 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.2021.106118Applications 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.2021.104697Automatic 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/ijerph18063087Automated 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/electronics10131531Automated 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/ijerph18115838Automated 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/diagnostics11081380Automated 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.2021.107078Automatic 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.2021.104246Automated 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-wFusion 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.2021.102622Automated 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.2020.12.007A 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.2021.102076The 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.2020.104129Automated 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.2021.100736Novel 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-x2DSM 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.12474AFCNNet: 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.2021.104783A 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/s12652-020-02779-1Novel 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.2021.104835A 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/s40747-021-00408-8ECNet: 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.2021.102559Exploring 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.2021.107473Review 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/ijerph182111302ECG 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.2021.105959Multi-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/jof7100850Automated 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.2021.104428Gaborpdnet: 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/electronics10141740Hybrid 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/ijerph18020813Automated 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/diagnostics11111962Deep 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.2021.104949SPWVD-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.2021.3070608Detection 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.2021.04.008PDCNNet: 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.2021.3080135Design 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/s21010254Multichannel 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/app11177920A 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.2021.102818Automated 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.2021.115659Automated 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.2021.104457A 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/s21248507ResNet-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.12547Automated 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.2021.102733Recent 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/ijerph181910003Automated 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/diagnostics11081446Fusion 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/ijerph18158059Accurate 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.2020.106591Automated 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.2021.115031Accurate 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.2020.109518Application 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.2021.102085PrimePatNet87: 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.2021.104867An 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.2021.05.010Automated 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.2021.102895Automated 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.2021.102936Automated 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.2021.06.022Automated 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.2021.104548ABCDM: 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.2020.08.005Novel 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.2021.104841Multilevel 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/e23121651Uncertainty-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/10.1145/3462635Handling 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/s10479-021-04006-2Coronary 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.2020.104095Uncertainty 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.2021.104418A 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.2021.05.008BARF: 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.2021.07.024COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings
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