Prof Rajendra Acharya

Prof Rajendra Acharya
NameProf Rajendra Acharya
Email Addressrajendra.acharya@unisq.edu.au
Job TitleProfessor (Artificial Intelligence in Health)
QualificationsBEng Mysore, MTech Manipal, PhD NIA, PhD Chiba, DSc AGH
DepartmentSchool of Mathematics, Physics and Computing
AffiliationsInstitute for Life Sciences and the Environment
Centre for Health Research
Institute for Life Sciences and the Environment
ORCIDhttps://orcid.org/0000-0003-2689-8552
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Biography

U. R. Acharya, Ph.D., DEng, DSc, is a Professor at University of Southern Queensland, Australia; a Distinguished Professor at the International Research Organization for Advanced Science and Technology, Kumamoto University, Japan; Adjunct Professor at the University of Malaya, Malaysia; and Adjunct Professor at the Asia University, Taiwan. His research interests include biomedical imaging and signal processing, data mining, and visualization, as well as applications of biophysics for better healthcare design and delivery. His funded research has accrued cumulative grants exceeding six million Singapore dollars. He has authored over 600 publications, including 550 in refereed international journals, 42 in international conference proceedings, and 17 books. He has received more than 67,000 citations on Google Scholar (with an h-index of 130). He has been ranked in the top 1% of the highly cited researchers for the last seven consecutive years (2016–2022) in computer science, according to the Essential Science Indicators of Thomson. He is on the editorial boards of many journals and has served as a guest editor on several AI-related issues.

Employment

PositionOrganisationFromTo
ProfessorUniversity of Southern Queensland, Australia2023

Fields of Research

  • 400304. Biomedical imaging
  • 400309. Neural engineering
  • 400310. Rehabilitation engineering
  • 420308. Health informatics and information systems
  • 420311. Health systems
  • 420313. Mental health services
  • 460203. Evolutionary computation
  • 460207. Modelling and simulation
BEng
Mysore
1989
MTech
Manipal
1998
PhD
NIA
2002
PhD
Chiba
2007
DSc
AGH
2020

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Examining the AI-driven assistive tools to enhance the competence measurement of vocational skills and capability of students in Australian vocational education setting.Principal SupervisorDoctoral2025
Utilizing Artificial Intelligence to Streamline Airport OperationsPrincipal SupervisorDoctoral2025
An Algorithmic Approach for Teacher Retention in Schools Supporting Students with Autism and ADHDPrincipal SupervisorDoctoral2025
Specific Aspects of Human-Robot Interactions in Service SettingsAssociate SupervisorDoctoral2025
A Deep Learning-Based Framework for Depression Detection Using EEG and MRI DataPrincipal SupervisorMasters2025
Application of Artificial Intelligence Techniques for Neurodevelopmental Disorders in Children Using Physiological SignalsAssociate SupervisorDoctoral2024
An investigation of future course demand in Australian Universities using AI-driven Sentiment Analysis of Social Media dataPrincipal SupervisorDoctoral2024
AI-enabled Early Detection Tools to Identify Student's Academic Progress and Decisions to Initiate Early Intervention - a review of higher education settingsAssociate SupervisorDoctoral2024
Automated detection of ovarian cancer stages using artificial intelligencePrincipal SupervisorDoctoral2024
Accurate and automated coronary artery plaque detection using computed tomography angiography imagesAssociate SupervisorDoctoral2023
AI-driven early intervention of student academic progress using a Learning Management System in an Australian Tertiary EducationAssociate SupervisorDoctoral2023
An Efficient Automated Tool to Characterise Asthma using cough sound signalsAssociate SupervisorDoctoral2022
Automated accurate retinal health screening systemAssociate SupervisorDoctoral2022
Epileptic Seizure Prediction with Heart Rate Variability and ECG DatasetsAssociate SupervisorDoctoral2022
AI-enabled enrolment/application process through an integrated platformAssociate SupervisorDoctoral2021

Completed Supervisions

Research TitleSupervisor TypeLevel of StudyCompleted
Artificial Intelligence for Clinical Decision Making Support in PsychiatryAssociate SupervisorDoctoral2024

FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection

Tuncer, Ilknur, Hafeez-Baig, Abdul, Barua, Prabal Datta, Hajiyeva, Rena, Massimo, Salvi, Dogan, Sengul, Tuncer, Turker and Acharya, U.R.. 2025. "FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection." Biomedical Signal Processing and Control. 104. https://doi.org/10.1016/j.bspc.2025.107538

Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data

Siuly, Siuly, Tawhid, Md.Nurul Ahad, Li, Yan, Acharya, Rajendra, Sadiq, Muhammad Tariq and Wang, Hua. 2025. "Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data." Cognitive Computation. 17 (2). https://doi.org/10.1007/s12559-025-10447-9

A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification

Akpinar, Muhammed Halil, Atila, Orhan, Sengur, Abdulkadir, Salvi, Massimo and Acharya, U.R.. 2025. "A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification." Chaos, Solitons and Fractals. 193. https://doi.org/10.1016/j.chaos.2025.116130

Current and future roles of artificial intelligence in retinopathy of prematurity

Jafarizadeh, Ali, Maleki, Shadi Farabi, Pouya, Parnia, Sobhi, Navid, Abdollahi, Mirsaeed, Pedrammehr, Siamak, Lim, Chee Peng, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2025. "Current and future roles of artificial intelligence in retinopathy of prematurity." Artificial Intelligence Review. 58 (6). https://doi.org/10.1007/s10462-025-11153-6

BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images

Poyraz, Melahat, Poyraz, Ahmet Kursad, Dogan, Yusuf, Gunes, Selva, Mir, Hasan S., Paul, Jose Kunnel, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Molinari, Filippo and Acharya, Rajendra. 2025. "BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images." Cognitive Neurodynamics. 19 (1). https://doi.org/10.1007/s11571-025-10235-z

Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)

Naderi Yaghouti, Amir Reza, Shalbaf, Ahmad, Alizadehsani, Roohallah, Tan, Ru-San, Vijayananthan, Anushya, Yeong, Chai Hong and Acharya, U. Rajendra. 2025. "Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)." Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-025-10268-x

Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions

Prasad, Salvin S., Joseph, Lionel P., Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J., Acharya, Rajendra and Yaseen, Zaher M.. 2025. "Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions." Atmospheric Environment. 343. https://doi.org/10.1016/j.atmosenv.2024.120951

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications

Atmakuru, Anirudh, Chakraborty, Subrata, Salvi, Massimo, Faust, Oliver, Barua, Prabal Datta, Kobayashi, Makiko, Tan, Ru San, Molinari, Filippo, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications." IEEE Access. 13, pp. 25026-25044. https://doi.org/10.1109/ACCESS.2025.3539196

Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification

Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Tasci, Irem, Mungen, Bulent, Tasci, Burak, Barua, Prabal Datta and Acharya, U.R.. 2024. "Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification." Knowledge-Based Systems. 305. https://doi.org/10.1016/j.knosys.2024.112555

Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images

Cambay, Veysel Yusu, Barua, Prabal Dat, Hafeez Baig, Abdul, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker and Acharya, U. R.. 2024. "Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images ." Sensors. 24 (23). https://doi.org/10.3390/s24237710

Automated EEG-based language detection using directed quantum pattern technique

Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta and Acharya, U.R.. 2024. "Automated EEG-based language detection using directed quantum pattern technique." Applied Soft Computing. 167 (Part A). https://doi.org/10.1016/j.asoc.2024.112301

Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert–Huang and wavelet transforms with explainable vision transformer and CNN models

Telangore, Hardik, Azad, Victor, Sharma, Manish, Bhurane, Ankit, Tan, Ru San and Acharya, U. Rajendra. 2024. "Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert–Huang and wavelet transforms with explainable vision transformer and CNN models." Computer Methods and Programs in Biomedicine. 257. https://doi.org/10.1016/j.cmpb.2024.108455

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

Akpinar, Muhammed Halil, Sengur, Abdulkadir, Salvi, Massimo, Seoni, Silvia, Faust, Oliver, Mir, Hasan, Molinari,Filippo and Acharya, U. Rajendra. 2024. "Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies." IEEE Open Journal of Engineering in Medicine and Biology. 6, pp. 183-192. https://doi.org/10.1109/OJEMB.2024.3508472

Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course

Ghimire, Sujan, Abdulla, Shahab, Joseph, Lionel P., Prasad, Salvin, Murphy, Angela, Devi, Aruna, Barua, Prabal Datta, Deo, Ravinesh C., Acharya, Rajendra and Yaseen, Zaher Mundher. 2024. "Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course." Computers and Education: Artificial Intelligence. 7. https://doi.org/10.1016/j.caeai.2024.100331

Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts

Ghimire, Sujan, AL-Musaylh, Mohanad S., Nguyen-Huy, Thong, Deo, Ravinesh C., Acharya, Rajendra, Casillas-Perez, David, Yaseen, Zaher Mundher and Salcedo-sanz, Sancho. 2025. "Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts." Applied Energy. 378 (Part A). https://doi.org/10.1016/j.apenergy.2024.124763

A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images

Katar, Oguzhan, Yildirim, Ozal, Tan, Ru-San and Acharya, U Rajendra. 2024. "A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images." Diagnostics. 14 (22). https://doi.org/10.3390/diagnostics14222497

RECOMED: A comprehensive pharmaceutical recommendation system

Zomorodi, Mariam, Ghodsollahee, Ismail, Martin, Jennifer H, Talley, Nicholas J, Salari, Vahid, Pławiak, Paweł, Rahimi, Kazem and Acharya, U.R.. 2024. "RECOMED: A comprehensive pharmaceutical recommendation system." Artificial Intelligence in Medicine. 157. https://doi.org/10.1016/j.artmed.2024.102981

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade

Abdollahi, Mirsaeed, Jafarizadeh, Ali, Ghafouri-Asbagh, Amirhosein, Sobhi, Navid, Pourmoghtader, Keysan, Pedrammehr, Siamak, Asadi, Houshyar, Tan, Ru-San, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2024. "Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade." WIREs Data Mining and Knowledge Discovery. 14 (6). https://doi.org/10.1002/widm.1560

Retinal Health Screening Using Artificial Intelligence with Digital Fundus Images: A Review of the Last Decade (2012-2023)

Islam, Saad, Deo, Ravinesh C., Barua, Prabal Datta, Soar, Jeffrey, Yu, Ping and Acharya, U. Rajendra. 2024. "Retinal Health Screening Using Artificial Intelligence with Digital Fundus Images: A Review of the Last Decade (2012-2023)." IEEE Access. 12, pp. 176630-176685. https://doi.org/10.1109/ACCESS.2024.3477420

A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization

Hardalac, Firat, Akmal, Haad, Ayturan, Kubilay, Acharya, U. Rajendra and Tan, Ru-San. 2024. "A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization." Interdisciplinary Sciences: Computational Life Sciences. 16 (4), pp. 882-906. https://doi.org/10.1007/s12539-024-00647-6

Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review

Gudigar, Anjan, Raghavendra, U., Maithri, M., Samanth, Jyothi, Inamdar, Mahesh Anil, Vidhya, V., Vicnesh, Jahmunah, Prabhu, Mukund A., Tan, Ru-San, Yeong, Chai Hong, Molinari, Filippo and Acharya, U. R.. 2024. "Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review." IEEE Access. 12, pp. 138399-138428. https://doi.org/10.1109/ACCESS.2024.3465511

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

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

N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals

Barua, Prabal Datta, Tuncer, Turker, Baygin, Mehmet, Dogan, Sengul and Acharya, U. Rajendra. 2024. "N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals." Knowledge-Based Systems. 304. https://doi.org/10.1016/j.knosys.2024.112510

Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern

Tuncer, Turker, Dogan, Sengul, Tasci, Irem, Baygin, Mehmet, Barua, Prabal and Acharya, U. Rajendra. 2024. "Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern." Diagnostics. 14 (17). https://doi.org/10.3390/diagnostics14171987

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review

Ozkan, Dilek, Katar, Oguzhan, Ak, Murat, Al-Antari, Mugahed A., Ak, Nehir Yasan, Yildirim, Ozal, Mir, Hasan S., Tan, Ru-San and Acharya, U. Rajendra. 2024. "Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review ." IEEE Access. 12, pp. 127879-127902. https://doi.org/10.1109/ACCESS.2024.3454709

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology

Salvi, Massimo, Mogetta, Alessandro, Raghavendra, U., Gudigar, Anjan, Acharya, U. Rajendra and Molinari, Filippo. 2024. "A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology." Applied Soft Computing. 165. https://doi.org/10.1016/j.asoc.2024.112081

ConcatNeXt: An automated blood cell classification with a new deep convolutional neural network

Erten, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru‑San and Acharya, U. R.. 2024. "ConcatNeXt: An automated blood cell classification with a new deep convolutional neural network." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-19899-x

Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Sharma, Ekta, Salcedo-sanz, Sancho, Barua, Prabal and Acharya, U. Rajendra. 2024. "Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach." Applied Energy. 374. https://doi.org/10.1016/j.apenergy.2024.123920

Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients

Oztekin, Pelin Seher, Katar, Oguzhan, Omma, Tulay, Erel, Serap, Tokur, Oguzhan, Avci, Derya, Aydogan, Murat, Yildirim, Ozal, Avci, Engin and Acharya, U. Rajendra. 2024. "Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients." Journal of Ultrasound in Medicine. 43 (11), pp. 2051-2068. https://doi.org/10.1002/jum.16535

Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians

Ardakani, Ali Abbasian, Airom, Omid, Khorshidi, Hamid, Bureau, Nathalie J., Salvi, Massimo, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians." Journal of Ultrasound in Medicine. 43 (10), pp. 1789-1818. https://doi.org/10.1002/jum.16524

Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement

Ingle, Manisha, Sharma, Manish, Verma, Shresth, Sharma, Nishant, Bhurane, Ankit and Acharya, U. Rajendra. 2024. "Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement." Medical Engineering and Physics. 130. https://doi.org/10.1016/j.medengphy.2024.104208

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques

Atmakuru, Anirudh, Chakraborty, Subrata, Faust, Oliver, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo, Acharya, U.R. and Homaira, Nusrat. 2024. "Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques." Expert Systems with Applications. 255 (Part B). https://doi.org/10.1016/j.eswa.2024.124665

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach

Sharifrazi, Danial, Javed, Nouman, Alizadehsani, Roohallah, Paradkar, Prasad N., Acharya, U. Rajendra and Bhatti, Asim. 2024. "Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach." Biomedical Signal Processing and Control. 96 (Part B). https://doi.org/10.1016/j.bspc.2024.106594

Transfer learning with spinally shared layers

Kabir, H.M. Dipu, Mondal, Subrota Kumar, Alam, Syed Bahauddin and Acharya, U. Rajendra. 2024. "Transfer learning with spinally shared layers." Applied Soft Computing. 163, pp. -. https://doi.org/10.1016/j.asoc.2024.111908

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals

Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San and Acharya, U.R.. 2024. "DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals." Knowledge-Based Systems. 300. https://doi.org/10.1016/j.knosys.2024.112150

A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals

Delfan, Niloufar, Shahsavari, Mohammadreza, Hussain, Sadiq, Damaševičius, Robertas and Acharya, U. Rajendra. 2024. "A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals." International Journal of Imaging Systems and Technology. 34 (4). https://doi.org/10.1002/ima.23120

Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds

Barua, Prabal Datta, Keles, Tugce, Kuluozturk, Mutlu, Kobat, Mehmet Ali, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendr. 2024. "Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds." Neural Computing and Applications. 36 (27), pp. 16857-16871. https://doi.org/10.1007/s00521-024-09895-5

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)

Akpinar, Muhammed Halil, Sengur, Abdulkadir, Faust, Oliver, Tong, Louis, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)." Computer Methods and Programs in Biomedicine. 254. https://doi.org/10.1016/j.cmpb.2024.108253

A lightweight deep convolutional neural network model for skin cancer image classification

Tuncer, Turker, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul and Acharya, U. Rajendra. 2024. "A lightweight deep convolutional neural network model for skin cancer image classification." Applied Soft Computing. 162. https://doi.org/10.1016/j.asoc.2024.111794

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images

Ali, Tanweer, Pathan, Sameena, Salvi, Massimo, Meiburger, Kristen M., Molinari, Filippo and Acharya, U. Rajendra. 2024. "CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images." IEEE Access. 12, pp. 73970-73979. https://doi.org/10.1109/ACCESS.2024.3404023

ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration

Kasmaee, Adele Mirzaee Moghaddam, Ataei, Alireza, Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Gorriz, Juan M, Zhang, Yu-Dong, Tan, Ru-San and Acharya, U Rajendra A. 2024. "ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration." Physiological Measurement. 45 (5). https://doi.org/10.1088/1361-6579/ad46e2

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images

Das, Dipankar, Nayak, Deepak Ranjan, Bhandary, Sulatha V. and Acharya, U. Rajendra. 2024. "CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images." Engineering Applications of Artificial Intelligence. 133 (Part E). https://doi.org/10.1016/j.engappai.2024.108454

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems

Seoni, Silvia, Shahini, Alen, Meiburger, Kristen M., Marzola, Francesco, Rotunno, Giulia, Acharya, U. Rajendra, Molinari, Filippo and Salvi, Massimo. 2024. "All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems." Computer Methods and Programs in Biomedicine. 250. https://doi.org/10.1016/j.cmpb.2024.108200

Chaotic opposition Golden Sinus Algorithm for global optimization problems

Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Ranjendra. 2024. "Chaotic opposition Golden Sinus Algorithm for global optimization problems." Chaos, Solitons and Fractals. 183. https://doi.org/10.1016/j.chaos.2024.114869

AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models

Aydin, Mehmet, Barua, Prabal Datta, Chadalavada, Sreenivasulu, Dogan, Sengul, Tuncer, Turker, Chakraborty, Subrata and Acharya, Rajendra U.. 2025. "AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models." Multimedia Tools and Applications. 84 (4), pp. 1821-1843. https://doi.org/10.1007/s11042-024-19163-2

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework

Nasarian, Elham, Alizadehsani, Roohallah, Acharya, U.Rajendra and Tsui, Kwok-Leung. 2024. "Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework." Information Fusion. 108. https://doi.org/10.1016/j.inffus.2024.102412

Lattice 123 pattern for automated Alzheimer's detection using EEG signal

Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J., Fujita, Hamido, Devi, Aruna and Acharya, U. Rajendra. 2024. "Lattice 123 pattern for automated Alzheimer's detection using EEG signal." Cognitive Neurodynamics. 18, pp. 2503-2519. https://doi.org/10.1007/s11571-024-10104-1

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps

Bagherzadeh, Sara, Shalbaf, Ahmad, Shoeibi, Afshin, Jafari, Mahboobeh, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps." IEEE Access. 12, pp. 50949-50965. https://doi.org/10.1109/ACCESS.2024.3384303

An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals

Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2024. "An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals." Engineering Applications of Artificial Intelligence. 133 (Part D). https://doi.org/10.1016/j.engappai.2024.108306

FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech

Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Palmer, Elizabeth Emma, March, Sonja, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2024. "FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech." Computers in Biology and Medicine. 173. https://doi.org/10.1016/j.compbiomed.2024.108280

A systematic review on automatic identification of insomnia

Ingle, Manisha, Sharma, Manish, Kumar, Kamlesh, Kumar, Prince, Bhurane, Ankit, Elphick, Heather, Joshi, Deepak and Acharya, U Rajendra. 2024. "A systematic review on automatic identification of insomnia." Physiological Measurement. 45 (3). https://doi.org/10.1088/1361-6579/ad2059

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals

Seoni, Silvia, Molinari, Filippo, Acharya, U. Rajendra, Oh, Oh Shu, Barua, Prabal Datta, García, Salvador and Salvi, Massimo. 2024. "Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals." Information Sciences. 665. https://doi.org/10.1016/j.ins.2024.120383

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)

Gudigar, Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Maithri, M., Inamdar, Mahesh Anil, Prabhu, Mukund A., Hegde, Ajay, Salvi, Massimo, Yeong, Chai Hong, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)." Computers in Biology and Medicine. 172. https://doi.org/10.1016/j.compbiomed.2024.108207

Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals

Tasci, Irem, Baygin, Mehmet, Barua, Prabal Datta, Hafeez-Baig, Abdul, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals." Cognitive Neurodynamics. 18 (5), pp. 2193-2210. https://doi.org/10.1007/s11571-024-10078-0

MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201

Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201." Multimedia Tools and Applications. 83 (30), pp. 75061-75083. https://doi.org/10.1007/s11042-024-18416-4

Automated anxiety detection using probabilistic binary pattern with ECG signals

Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Hong, Tan Jen, March, Sonja, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automated anxiety detection using probabilistic binary pattern with ECG signals." Computer Methods and Programs in Biomedicine. 247. https://doi.org/10.1016/j.cmpb.2024.108076

Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals

Kumar, Kamlesh, Kumar, Prince, Patel, Ruchit K., Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2024. "Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals." IEEE Latin America Transactions (IEEE America Latina. Revista). 22 (3), pp. 186-194. https://doi.org/10.1109/TLA.2024.10431420

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)

Salvi, Massimo, Acharya, Madhav R., Seoni, Silvia, Faust, Oliver, Tan, Ru-San, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra Acharya. 2024. "Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)." WIREs Data Mining and Knowledge Discovery. 14 (3). https://doi.org/10.1002/widm.1530

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra. 2024. "Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model." Engineering Applications of Artificial Intelligence. 132. https://doi.org/10.1016/j.engappai.2024.107918

Automated accurate insomnia detection system using wavelet scattering method using ECG signals

Sharma, Nishant, Sharma, Manish, Telangore, Hardik and Acharya, U Rajendra. 2024. "Automated accurate insomnia detection system using wavelet scattering method using ECG signals." Applied Intelligence. 54 (4), pp. 3464-3481. https://doi.org/10.1007/s10489-024-05284-6

Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique

Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2024. "Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique ." Soft Computing. https://doi.org/10.1007/s00500-024-09647-6

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges

Joloudari, Javad Hassannataj, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Kabir, H. M. Dipu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges ." Multimedia Tools and Applications. 83 (26), pp. 67953-67996. https://doi.org/10.1007/s11042-024-18123-0

Automated detection and forecasting of COVID-19 using deep learning techniques: A review

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Sadeghi, Delaram, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Hussain, Sadiq, Zare, Assef, Sani, Zahra Alizadeh, Khozeimeh, Fahime, Nahavandi, Saeid, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Automated detection and forecasting of COVID-19 using deep learning techniques: A review." Neurocomputing. 577. https://doi.org/10.1016/j.neucom.2024.127317

Automated detection of depression using wavelet scattering networks

Sharma, Nishant, Sharma, Manish, Tailor, Jimit, Chaudhari, Arth, Joshi, Deepak and Acharya, U Rajendra. 2024. "Automated detection of depression using wavelet scattering networks." Medical Engineering and Physics. 124. https://doi.org/10.1016/j.medengphy.2024.104107

What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

Roshanzamir, Mohamad, Jafari, Mahboobeh, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." Information Systems Frontiers: a journal of research and innovation. https://doi.org/10.1007/s10796-023-10466-7

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images

Gudigar,Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Inamdar, Mahesh Anil, Prabhu, Mukund A. . and Acharya, U. Rajendra. 2024. "Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images." IEEE Access. 12, pp. 3659-3671. https://doi.org/10.1109/ACCESS.2023.3349090

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

Roshanzamir, Mohamad, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Sep 2023 Switzerland . https://doi.org/10.1007/978-3-031-50320-7_1

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model

Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation

Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir, Acharya, U. Rajendra and Mir, Hasan. 2024. "Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation." IEEE Access. 12, pp. 840-867. https://doi.org/10.1109/ACCESS.2023.3347587

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images

Sasmal, Pradipta, Sharma, Vanshali, Allam, Allam Jaya, Bhuyan, M.K., Patro, Kiran Kumar, Samee, Nagwan Abdel, Alamro, Hayam, Iwahori, Yuji, Tadeusiewicz, Ryszard, Acharya, U. Rajendra and Pławiak, Paweł. 2024. "Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images." Information Sciences. 658. https://doi.org/10.1016/j.ins.2023.120033

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks

Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Barua, Prabal Datta, Mir, Hasan Saeed, Chen, Fang, Zhou, Jianlong and Acharya, U. Rajendra. 2023. "Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks." IEEE Access. 11, pp. 143016 - 143036. https://doi.org/10.1109/ACCESS.2023.3343451

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection

Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Aghaei, Leyla, Mirjalili, Seyedali, Khosravi, Abbas, García, Salvador, Karray, Fakhri and Acharya, U. Rajendra. 2024. "Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection." Applied Soft Computing. 151. https://doi.org/10.1016/j.asoc.2023.111141

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

Jafari, Mahboobeh, Sadeghi, Delaram, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Beheshti, Amin, García, David, Chen, Zhaolin, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023." Applied Intelligence. 54 (1), pp. 35-79. https://doi.org/10.1007/s10489-023-05155-6

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images

Vidhya, V., Raghavendra, U., Gudigar, Anjan, Basak, Sudipta, Mallappa, Sankalp, Hegde, Ajay, Menon, Girish R., Barua, Prabal Datta, Salvi, Massimo, Ciaccio, Edward J., Molinari, Filippo and Acharya, U. Rajendra. 2023. "YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images." IEEE Access. 11, pp. 141309 - 141328. https://doi.org/10.1109/ACCESS.2023.3339560

EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images

Kivrak, Tarik, Nayak, Jagadish, Gelen, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Pamukcu, Hilal Erken, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images." IEEE Access. 11, pp. 142711-142724. https://doi.org/10.1109/ACCESS.2023.3338228

Novel tiny textural motif pattern-based RNA virus protein sequence classification model

Erten, Mehmet, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2024. "Novel tiny textural motif pattern-based RNA virus protein sequence classification model." Expert Systems with Applications. 242. https://doi.org/10.1016/j.eswa.2023.122781

ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique

Loh, Hui Wen, Ooi, Chui Ping, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2024. "ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique." Cognitive Neurodynamics. 18 (4), pp. 1609-1625. https://doi.org/10.1007/s11571-023-10028-2

A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning

Nematollahi, Mohammad Ali, Askarinejad, Amir, Asadollahi, Arefeh, Bazrafshan, Mehdi, Sarejloo, Shirin, Moghadami, Mana, Sasannia, Sarvin, Farjam, Mojtaba, Homayounfar, Reza, Pezeshki, Babak, Amini, Mitra, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Bazrafshan, Hanieh, Bazrafshan drissi, Hamed, Tan, Ru-San, Acharya, U. Rajendra and Islam, Mohammed Shariful Sheikh. 2024. "A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning." Journal of Diabetes and Metabolic Disorders. 23 (1), pp. 773-781. https://doi.org/10.1007/s40200-023-01350-x

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)

Zamanian, H., Shalbaf, A., Zali, M.R., Khalaj, A.R., Dehghan, P., Tabesh, M., Hatami, B., Alizadehsani, R., Tan, Ru-San and Acharya, U. Rajendra. 2024. "Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107932

Deep Image Analysis for Microalgae Identification

Soar, Jeffrey, Lih, Oh Shu, Wen, Loh Hui, Ward, Aleth, Sharma, Ekta, Deo, Ravinesh C., Barua, Prabal Datta, Tan, Ru-San, Rinen, Eliezer and Acharya, Rajendra. 2023. "Deep Image Analysis for Microalgae Identification." Lecture notes in computer science. Switzerland . Springer. pp. 280-292

AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies

Ardakani, Ali Abbasian, Mohammadi, Afshin, Vogl, Thomas J., Kuzan, Taha Yusuf and Acharya, U Rajendra. 2024. "AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies." Journal of Clinical Ultrasound. 52 (2), pp. 131-143. https://doi.org/10.1002/jcu.23607

Automated reading level classification model based on improved orbital pattern

Abed, Rusul Qasim, Dikmen, Melih, Aydemir, Emrah, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Automated reading level classification model based on improved orbital pattern." Multimedia Tools and Applications. 83 (17), pp. 52819-52840. https://doi.org/10.1007/s11042-023-17535-8

Sleep disorder identification using wavelet scattering on ECG signals

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita and Acharya, U. Rajendra. 2024. "Sleep disorder identification using wavelet scattering on ECG signals." International Journal of Imaging Systems and Technology. 34 (1). https://doi.org/10.1002/ima.22980

Multi-modality approaches for medical support systems: A systematic review of the last decade

Salvi, Massimo, Loh, Hui Wen, Seoni, Silvia, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Multi-modality approaches for medical support systems: A systematic review of the last decade." Information Fusion. 103. https://doi.org/10.1016/j.inffus.2023.102134

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals

El-Dahshan, El-Sayed A., Bassiouni, Mahmoud M., Khare, Smith K., Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals." Expert Systems with Applications. 239. https://doi.org/10.1016/j.eswa.2023.122388

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space

Fallahpoor, Maryam, Chakraborty, Subrata, Pradhan, Biswajeet, Faust, Oliver, Barua, Prabal Datta, Chegeni, Hossein and Acharya, Rajendra. 2024. "Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space." Computer Methods and Programs in Biomedicine. 243. https://doi.org/10.1016/j.cmpb.2023.107880

Novel automated detection of sports activities using shadow videos

Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2024. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. 83 (15), pp. 44933-44954. https://doi.org/10.1007/s11042-023-17407-1

Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights

Xiong, Jiale, Yang, Jing, Yan, Lei, Awais, Muhammad, Khan, Abdullah Ayub, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2024. "Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights." Expert Systems with Applications. 238 (Part E). https://doi.org/10.1016/j.eswa.2023.122088

Automated schizophrenia detection model using blood sample scattergram images and local binary pattern

Tasci, Burak, Tasci, Gulay, Ayyildiz, Hakan, Kamath, Aditya P., Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J., Chakraborty, Subrata . and Acharya, U. Rajendra. 2024. "Automated schizophrenia detection model using blood sample scattergram images and local binary pattern." Multimedia Tools and Applications. 83 (14), p. 42735–42763. https://doi.org/10.1007/s11042-023-16676-0

An automated earthquake classification model based on a new butterfly pattern using seismic signals

Ozkaya, Suat Gokhan, Baygin, Mehmet, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Chakraborty, Subrata and Acharya, U. Rajendra. 2024. "An automated earthquake classification model based on a new butterfly pattern using seismic signals." Expert Systems with Applications. 238 (Part D). https://doi.org/10.1016/j.eswa.2023.122079

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds

Kilic, Mehmet, Barua, Prabal Datta, Keles, Tugce, Yildiz, Arif Metehan, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Kuluozturk, Mutlu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds." Engineering Applications of Artificial Intelligence. 127 (Part A). https://doi.org/10.1016/j.engappai.2023.107184

ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images

Barua, Prabal Datta, Kirik, Serkan, Dogan, Sengul, Koc, Canan, Ozkaynak, Fatih, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. 83 (13), pp. 39823-39840. https://doi.org/10.1007/s11042-023-17057-3

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection

Kobat, Mehmet Ali, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Kivrak, Tarik, Akin, Yusuf, Bairy, G. Muralidhar, Tan, Ru‑San and Acharya, U. Rajendra. 2024. "Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection." Multimedia Tools and Applications. 83 (12), pp. 35957-35977. https://doi.org/10.1007/s11042-023-16697-9

FF-BTP Model for Novel Sound-Based Community Emotion Detection

Yildiz, Arif Metehan, Tanabe, Masayuki, Kobayashi, Makiko, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FF-BTP Model for Novel Sound-Based Community Emotion Detection." IEEE Access. 11, pp. 108705-108715. https://doi.org/10.1109/ACCESS.2023.3318751

Multi-objective squirrel search algorithm for EEG feature selection

Wang, Chao, Li, Songjie, Shi, Miao, Zhao, Jie, Wen, Tao Wen, Acharya, U. Rajendra, Xie, Neng-gang and Cheong, Kang Hao. 2023. "Multi-objective squirrel search algorithm for EEG feature selection." Journal of Computational Science. 73. https://doi.org/10.1016/j.jocs.2023.102140

Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients

Oei, Chien Wei, Ng, Eddie Yin Kwee, Shan, Matthew Hok, Tan, Ru-San, Chan, Yam Meng, Chan, Lai Gwen and Acharya, Udyavara Rajendra. 2023. "Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients." Sensors. 23 (18). https://doi.org/10.3390/s23187946

Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal

Barua, Prabal Datta, Kobayashi, Makiko, Tanabe, Masayuki, Baygin, Mehmet, Paul, Jose Kunnel, Iype, Thomas, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal." IEEE Access. 11, pp. 101359-101372. https://doi.org/10.1109/ACCESS.2023.3315149

Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique

Aksalli, Isil Karabey, Baygin, Nursena, Hagiwara, Yuki, Paul, Jose Kunnel, Iype, Thomas, Barua, Prabal Datta, Koh, Joel E. W., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2024. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. 18 (1), pp. 283-404. https://doi.org/10.1007/s11571-023-10005-9

Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds

Topaloglu, Ihsan, Barua, Prabal Datta, Yildiz, Arif Metehan, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Gul, Huseyin Fatih, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds." Engineering Applications of Artificial Intelligence. 126. https://doi.org/10.1016/j.engappai.2023.106887

Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals

Sharma, Manish, Anand, Divyansh, Verma, Sarv and Acharya, U. Rajendra. 2023. "Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals." Engineering Applications of Artificial Intelligence. 126 (Part C). https://doi.org/10.1016/j.engappai.2023.106903

Emotion recognition in EEG signals using deep learning methods: A review

Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Bagherzadeh, Sara, Shalbaf, Ahmad, García, David López, Gorriz, Juan M. and Acharya, U. Rajendra. 2023. "Emotion recognition in EEG signals using deep learning methods: A review." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107450

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system

Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121314

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Seoni, Silvia, Jahmunah, Vicnesh, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2023. "Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107441

Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771

Deep neural network technique for automated detection of ADHD and CD using ECG signal

Loh, Hui Wen, Ooi, Chui Pin, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2023. "Deep neural network technique for automated detection of ADHD and CD using ECG signal." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107775

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)

Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals

Atila, Orhan, Deniz, Erkan, Ari, Ali, Sengur, Abdulkadir, Chakraborty, Subrata, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals." Sensors. 23 (16). https://doi.org/10.3390/s23167032

NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers

Barua, Prabal Datta, Dogan, Sengul, Kavuran, Gurkan, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers." Neural Computing and Applications. 35 (30), pp. 22253-22263. https://doi.org/10.1007/s00521-023-08825-1

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population

Oh, Shu Lih, Jahmunah, V., Emmanuel, Elizabeth Emma, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2023. "EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107312

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI

Kaplan, Ela, Chan, Wai Yee, Altinsoy, Hasan Baki, Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI." Journal of Digital Imaging. 23, p. 2441–2460. https://doi.org/10.1007/s10278-023-00889-8

Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination

Khorshidi, Hamid, Mohammadi, Afshin, Yousem, David M., Abolghasemi, Jamileh, Ansari, Golnoosh, Mirza-Aghazadeh-Attari, Mohammad, Acharya, U Rajendra and Ardakani, Ali Abbasian. 2023. "Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination." Informatics in Medicine Unlocked. 41. https://doi.org/10.1016/j.imu.2023.101314

Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids

Tripathi, Aditya, Kumar, Preetham, Tulsani, Akshat, Chakrapani, Pavithra Kodiyalbail, Maiya, Geetha, Bhandary, Sulatha V., Mayya, Veena, Pathan, Sameena, Achar, Raghavendra and Acharya, U. Rajendra. 2023. "Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids." Diagnostics. 13 (15). https://doi.org/10.3390/diagnostics13152550

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals

Khare, Smith K and Acharya, U. Rajendra. 2023. "Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals." Knowledge-Based Systems. 278. https://doi.org/10.1016/j.knosys.2023.110858

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals

Shuvo, Samiul Based, Alam, Syed Samiul, Ayman, Syeda Umme, Chakma, Arbil, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals." Biomedical Signal Processing and Control. 86 (Part C). https://doi.org/10.1016/j.bspc.2023.105272

INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals

Kumar, Kamlesh, Gupta, Kapil, Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2023. "INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals." Medical Engineering and Physics. 119. https://doi.org/10.1016/j.medengphy.2023.104028

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models

Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Loh, Hui Wen, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models." Sensors. 23 (14). https://doi.org/10.3390/s23146585

Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)

Yaacob, Hamwira, Hossain, Farhad, Shari, Sharunizam, Khare, Smith K., Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)." IEEE Access. 11, pp. 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382

CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals

Sharma, Manish, Verma, Sarv, Anand, Divyansh, Gadre, Gadre and Acharya, U. Rajendra. 2023. "CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107259

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)

Jui, S. Janifer Jabin, Deo, Ravinesh C. Deo, Barua, Prabal Datta, Devi, Aruna, Soar, Jeffrey and Acharya, U. Rajendra. 2023. "Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)." IEEE Access. 11, pp. 71905-71924. https://doi.org/10.1109/ACCESS.2023.3294473

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

Khare, Smith K., March, Sonja, Barua, Prabal Datta, Gadre, Vikram M. and Acharya, U. Rajendra. 2023. "Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade." Information Fusion. 99. https://doi.org/10.1016/j.inffus.2023.101898

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

Raghavendra, U., Gudigar, Anjan, Paul, Aritra, Goutham, T.S., Inamdar, Mahesh Anil, Hegde, Ajay, Dev, Aruna, Ooi, Chui Ping, Deo, Ravinesh C., Barua, Prabal Datta, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives." Computers in Biology and Medicine. 163. https://doi.org/10.1016/j.compbiomed.2023.107063

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images

Erdem, Kenan, Kobat, Mehmet Ali, Bilen, Mehmet Nail, Balik, Yunus, Alkan, Sevim, Cavlak, Feyzanur, Poyraz, Ahmet Kursad, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Erten, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images." International Journal of Imaging Systems and Technology. 33 (4), pp. 1144-1159. https://doi.org/10.1002/ima.22914

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Sampathila, Niranjana, Swathi, K. S. and Acharya, U. Rajendra. 2023. "Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals." IEEE Access. 11, pp. 50946-50961. https://doi.org/10.1109/ACCESS.2023.3278800

QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals

Tasci, Gulay, Gun, Mehmet Veysel, Keles, Tugce, Tasci, Burak Tasci, Barua, Prabal Datta, Tasci, Irem, Dogan, Sengul, Baygin, Mehmet, Palmer, Elizabeth Emma, Tuncer, Turker, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals." Chaos, Solitons and Fractals. 172. https://doi.org/10.1016/j.chaos.2023.113472

Application of novel DIRF feature selection algorithm for automated brain disease detection

Yaman, Süleyman, Ünlü, Elif Işılay, Güler, Hasan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "Application of novel DIRF feature selection algorithm for automated brain disease detection." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.105006

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Khosravi, Abbas, Ling, SaiHo, Delfan, Niloufar, Zhang, Yu-Dong, Wang, Shuihua, Gorriz, Juan M., Alinejad-Rokny, Hamid and Acharya, U. Rajendra. 2023. "Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.106998

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals

Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00224-z

Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals

Baygin, Nursena, Aydemir, Emrah, Barua, Prabal D., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, Rajendra. 2023. "Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals." Expert Systems with Applications. 227. https://doi.org/10.1016/j.eswa.2023.120306

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction

Erten, Mehmet, Tuncer, Ilknur, Barua, Prabal D., Yildirim, Kubra, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction." Journal of Digital Imaging. 36 (4), pp. 1675-1686. https://doi.org/10.1007/s10278-023-00827-8

PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals

Sahin, Sakir Engin, Gulhan, Gokhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Faust, Oliver and Acharya, U. Rajendra. 2023. "PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals." Expert Systems: the journal of knowledge engineering. 40 (8). https://doi.org/10.1111/exsy.13312

Automated facial expression recognition using exemplar hybrid deep feature generation technique

Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "Automated facial expression recognition using exemplar hybrid deep feature generation technique." Soft Computing. 27 (13), pp. 8721-8737. https://doi.org/10.1007/s00500-023-08230-9

Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study

Mohammadi, Afshin, Torres-Cuenca, Thomas, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2023. "Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study." Journal of Ultrasound in Medicine. 42 (10), pp. 2257-2268. https://doi.org/10.1002/jum.16244

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

Patro, Kiran Kumar, Allam, Jaya Prakash, Chakravarthy, Bala, Tadeusiewicz, Ryszard, Acharya, U Rajendra, Hammad,Mohamed, Yildirim, Ozal and Pławiak, Paweł. 2023. "Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images." Information Sciences. 640. https://doi.org/10.1016/j.ins.2023.119005

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

Abdar, Moloud, Mehrzadi, Arash, Goudarzi, Milad, Masoudkabir, Farzad, Rundo, Leonardo, Mamouei, Mohammad, Sala, Evis, Khosravi, Abbas, Makarenkov, Vladimir, Acharya, U. Rajendra, Saadatagah, Seyedmohammad, Naderian, Mohammadreza, García, Salvador, Sarrafzadegan, Nizal and Nahavandi, Saeid. 2023. "Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm." Information Fusion. 97. https://doi.org/10.1016/j.inffus.2023.101813

FGPat18: Feynman graph pattern-based language detection model using EEG signals

Kirik, Serkan, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Demir, Caner Feyzi, Keles, Tugce, Yildiz, Arif Metehan, Baygin, Nursena, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FGPat18: Feynman graph pattern-based language detection model using EEG signals." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.104927

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

Mohan, Neethu, Kumar, S. Sachin, Soman, K. P., Sujadevi, V. G., Poornachandran, Prabaharan and Acharya, Rajendra. 2023. "A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems ." IEEE Access. 11, pp. 39228-39242. https://doi.org/10.1109/ACCESS.2023.3267125

Most complicated lock pattern-based seismological signal framework for automated earthquake detection

Gokhan, Suat Gokhan, Baygin, Nursena, Barua, Prabal D., Singh, Arvind R., Bajaj, Mohit, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Most complicated lock pattern-based seismological signal framework for automated earthquake detection." International Journal of Applied Earth Observation and Geoinformation. 118. https://doi.org/10.1016/j.jag.2023.103297

Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques

Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques." Expert Systems with Applications. 225. https://doi.org/10.1016/j.eswa.2023.120089

Automated semantic lung segmentation in chest CT images using deep neural network

Murugappan, M., Bourisly, Ali K., Prakash, N. B., Sumithra, M. G. and Acharya, U. Rajendra. 2023. "Automated semantic lung segmentation in chest CT images using deep neural network." Neural Computing and Applications. 35 (21), pp. 15343-15364. https://doi.org/10.1007/s00521-023-08407-1

A novel tree pattern-based violence detection model using audio signals

Yildiz, Arif Metehan, Barua, Prabal D., Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ooi, Chui Ping, Fujita, Hamido and Acharya, U. Rajendra. 2023. "A novel tree pattern-based violence detection model using audio signals." Expert Systems with Applications. 224. https://doi.org/10.1016/j.eswa.2023.120031

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals

Tasci, Irem, Tasci, Burak, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Emmanuel, Elizabeth Emma, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals." Information Fusion. 96, pp. 252-268. https://doi.org/10.1016/j.inffus.2023.03.022

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

Khozeimeh, Fahime, Alizadehsani, Roohallah, Shirani, Milad, Tartibi, Mehrzad, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Harlapur, Chandrashekhar, Sultanzadeh, Sayed Javed, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru-San and Acharya, U. Rajendra. 2023. "ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease." Computers in Biology and Medicine. 158. https://doi.org/10.1016/j.compbiomed.2023.106841

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)

Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536

Automated detection of scaphoid fractures using deep neural networks in radiographs

Singh, Amanpreet, Ardakani, Ali Abbasian, Loh, Hui Wen, Anamika, P.V., Acharya, U. Rajendra, Kamath, Sidharth and Bhat, Anil K.. 2023. "Automated detection of scaphoid fractures using deep neural networks in radiographs." Engineering Applications of Artificial Intelligence. 122. https://doi.org/10.1016/j.engappai.2023.106165

Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Elphick, Heather and Acharya, U. Rajendra. 2023. "Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges." Computer Methods and Programs in Biomedicine. 235. https://doi.org/10.1016/j.cmpb.2023.107471

ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images

Kaplan, Ela, Baygin, Mehmet, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Altunisik, Erman, Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2023. "ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images." Medical Engineering and Physics. 115. https://doi.org/10.1016/j.medengphy.2023.103971

CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals

Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Tuncer, Ilknur, Dogan, Sengul, Palmer, Elizabeth, Tuncer, Turker, Kamath, Aditya, Ciaccio, Edward J and Acharya, U Rajendra. 2023. "CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals ." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb03c

SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals

Khare, Smith K, Bajaj, Varun and Acharya, U Rajendra. 2023. "SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acbc06

Automated detection of schizophrenia using deep learning: a review for the last decade

Sharma, Manish, Patel, Ruchit Kumar, Garg, Akshat, Tan, Ru San and Acharya, U Rajendra. 2023. "Automated detection of schizophrenia using deep learning: a review for the last decade." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb24d

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas

Gudigar, Anjan, Raghavendra, U., Rao, Tejaswi N., Samanth, Jyothi, Rajinikanth, Venkatesan, Satapathy, Suresh Chandra, Ciaccio, E., Chan, Chan Wai and Acharya, U. Rajendra. 2023. "FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas." International Journal of Imaging Systems and Technology. 33 (2), pp. 483-494. https://doi.org/10.1002/ima.22820

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review

Chadaga, Krishnaraj, Prabhu, Srikanth, Sampathila, Niranjana, Nireshwalya, Sumith, Katta, Swathi S., Tan, Ru-San and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review." Diagnostics. 13 (5). https://doi.org/10.3390/diagnostics13050824

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals

Khare, Smith K. and Acharya, U. Rajendra. 2023. "An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106676

PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images

Muezzinoglu, Taha, Baygin, Nursena, Tuncer, Ilknur, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth E., Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images." Journal of Digital Imaging. 36 (3), pp. 973-987. https://doi.org/10.1007/s10278-023-00789-x

A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank

Sharma, Manish, Makwana, Paresh, Chad, Rajesh Singh and Acharya, U Rajend. 2023. "A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank." Applied Intelligence. 53 (15), pp. 18681-18699. https://doi.org/10.1007/s10489-022-04432-0

Skin lesion segmentation using two-phase cross-domain transfer learning framework

Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2023. "Skin lesion segmentation using two-phase cross-domain transfer learning framework." Computer Methods and Programs in Biomedicine. 231. https://doi.org/10.1016/j.cmpb.2023.107408

An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels

Dakhale, Bharti Jogi, Sharma, Manish, Arif, Mohammad, Asthana, Kushagra, Bhurane, Ankit A., Kothari, Ashwin G. and Acharya, U. Rajendra. 2023. "An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels." Medical Engineering and Physics. 112. https://doi.org/10.1016/j.medengphy.2023.103956

Swarm Intelligence in Internet of Medical Things: A Review

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Izadi, Navid Hoseini, Gravina, Raffaele, Kabir, H. M. Dipu, Nahavandi, Darius, Alinejad-Rokny, Hamid, Khosravi, Abbas, Acharya, U. Rajendra, Nahavandi, Saeid and Fortino, Giancarlo. 2023. "Swarm Intelligence in Internet of Medical Things: A Review." Sensors. 23 (3). https://doi.org/10.3390/s23031466

Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images

Sut, Suat Kamil, Koc, Mustafa, Zorlu, Gokhan, Serhatlioglu, Ihsan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru‑San and Acharya, U. Rajendra. 2023. "Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images." Journal of Digital Imaging. 36 (3), pp. 879-892. https://doi.org/10.1007/s10278-022-00759-9

Prognosis prediction in traumatic brain injury patients using machine learning algorithms

Khalili, Hosseinali, Rismani, Maziyar, Nematollahi, Mohammad Ali, Masoudi, Mohammad Sadegh, Asadollahi, Arefeh, Taheri, Reza, Pourmontaseri, Hossein, Valibeygi, Adib, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Niakan, Amin, Andishgar, Aref, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2023. "Prognosis prediction in traumatic brain injury patients using machine learning algorithms." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-28188-w

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network

Jahmunah, V., Chen, Sylvia, Oh, Shu Lih, Acharya, U. Rajendra and Chowbay, Balram. 2023. "Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network." Computers in Biology and Medicine. 153. https://doi.org/10.1016/j.compbiomed.2023.106548

An accurate automated speaker counting architecture based on James Webb Pattern

Barua, Prabal Datta, Yildiz, Arif Metehan, Canpolat, Nida, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "An accurate automated speaker counting architecture based on James Webb Pattern ." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2023.105821

An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images

Oztekin, Faruk, Katar, Oguzhan, Sadak, Ferhat, Yildirim, Muhammed, Cakar, Hakan, Aydogan, Murat, Ozpolat, Zeynep, Yildirim, Tuba Talo, Yildirim, Ozal, Faust, Oliver and Acharya, U. Rajendra. 2023. "An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images." Diagnostics. 13 (2). https://doi.org/10.3390/diagnostics13020226

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis

Ardakani, Ali Abbasian, Mohammadi, Afshin, Faeghi, Fariborz and Acharya, U. Rajendra. 2023. "Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis." International Journal of Imaging Systems and Technology. 33 (2), pp. 445-464. https://doi.org/10.1002/ima.22843

Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database

Barua, Prabal Datta, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Fujita, Hamido, Tan, Ru-San, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database." Biomedical Signal Processing and Control. 79 (Part 1). https://doi.org/10.1016/j.bspc.2022.104055

Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography

Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Yeong, Chai Hong and Acharya, U. Rajendra. 2023. "Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography." Informatics in Medicine Unlocked. 36. https://doi.org/10.1016/j.imu.2022.101158

A new one-dimensional testosterone pattern-based EEG sentence classification method

Keles, Tugce, Yildiz, Arif Metehan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "A new one-dimensional testosterone pattern-based EEG sentence classification method." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2022.105722

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images

Faust, Oliver, De Michele, Simona, Koh, Joel E. W., Jahmunah, V., Lih, Oh Shu, Kamath, Aditya P., Barua, Prabal Datta, Ciaccio, Edward J., Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2023. "Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images." Computer Methods and Programs in Biomedicine. 230. https://doi.org/10.1016/j.cmpb.2022.107320

Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review

Jahmunah, V., Koh, Joel En Wei, Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Oh, Shu Lih, Loh, Hui Wen, Faust, Oliver, Barua, Prabal Datta, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review." Biocybernetics and Biomedical Engineering. 43 (1), pp. 82-108. https://doi.org/10.1016/j.bbe.2022.12.002

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies

Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad and Acharya, U. Rajendra. 2023. "An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies." Computers in Biology and Medicine. 152. https://doi.org/10.1016/j.compbiomed.2022.106438

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Ling, Sai Ho, Khosravi, Abbas, Alinejad-Rokny, Hamid, Lam, H.K., Fuller-Tyszkiewicz, Matthew D., Acharya, U. Rajendra, Anderson, Donovan, Zhang, Yudong and Gorriz, Juan Manuel. 2023. "Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review." Information Fusion. 93, pp. 85-117. https://doi.org/10.1016/j.inffus.2022.12.010

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U. Rajendra. 2023. "Uncertainty quantification in DenseNet model using myocardial infarction ECG signals." Computer Methods and Programs in Biomedicine. 229. https://doi.org/10.1016/j.cmpb.2022.107308

Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment

Urolagin, Siddhaling, Nayak, Jagadish and Acharya, U. Rajendra. 2022. "Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment." IEEE Access. 10, pp. 132455-132471. https://doi.org/10.1109/ACCESS.2022.3228263

Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals

Zitouni, M. Sami, Oh, Shu Li, Vicnesh, Jahmunah, Khandoker, Ahsan and Acharya, U. Rajendra. 2022. "Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals." Frontiers in Psychiatry. 13. https://doi.org/10.3389/fpsyt.2022.970993

Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals

Tasci, Gulay, Loh, Hui Wen, Barua, Prabal Datta, Baygin, Mehmet, Tasci, Burak, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals." Knowledge-Based Systems. 260. https://doi.org/10.1016/j.knosys.2022.110190

Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization

Kilincer, Ilhan Firat, Ertam, Fatih, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization." Biocybernetics and Biomedical Engineering. 43 (1), pp. 30-41. https://doi.org/10.1016/j.bbe.2022.11.005

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

Chabane, Nail, Bouaoun, Achraf, Tighilt, Reda, Abdar, Moloud, Boc, Alix, Lord, Etienne, Tahiri, Nadia, Mazoure, Bogdan, Acharya, U. Rajendra and Makarenkov, Vladimir. 2022. "Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms." PLoS One. 17 (12). https://doi.org/10.1371/journal.pone.0278364

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals

Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Kobat, Mehmet Ali, Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Turker, Oh, Shu Lih, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals." International Journal of Machine Learning and Cybernetics. 14 (5), pp. 1651-1668. https://doi.org/10.1007/s13042-022-01718-0

Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models

Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Vogl, Thomas J. and Acharya, U. Rajendra. 2023. "Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models." Journal of Ultrasound in Medicine. 42 (6), pp. 1211-1221. https://doi.org/10.1002/jum.16131

Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends

Sharma, Manish, Kumar, Kamlesh, Kumar, Prince, Tan, Ru-San and Acharya, U Rajendra. 2022. "Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends." Physiological Measurement. 43 (11). https://doi.org/10.1088/1361-6579/ac98f0

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review

Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2024. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. 18 (1), pp. 1-22. https://doi.org/10.1007/s11571-022-09904-0

Automated Schizophrenia detection using local descriptors with EEG signals

Kumar, T. Sunil, Rajesh, Kandala N.V.P.S., Maheswari, Shishir, Kanhangad, Vivek and Acharya, U. Rajendra. 2023. "Automated Schizophrenia detection using local descriptors with EEG signals." Engineering Applications of Artificial Intelligence. 117 (Part A). https://doi.org/10.1016/j.engappai.2022.105602

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation

Karri, Meghana, Annvarapu, Chandra Sekhara Rao and Acharya, U Rajendra. 2023. "SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation." Applied Intelligence. 53 (12), pp. 15407-15423. https://doi.org/10.1007/s10489-022-04209-5

Swin-LBP: a competitive feature engineering model for urine sediment classification

Erten, Mehmet, Barua, Praba Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Swin-LBP: a competitive feature engineering model for urine sediment classification." Neural Computing and Applications. 35 (29), pp. 21621-21632. https://doi.org/10.1007/s00521-023-08919-w

Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels

Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Erten, Mehmet, Kaysi, Feyzi, Tuncer, Turker, Fujita, Hamido, Palmer, Elizabeth and Acharya, U Rajendra. 2023. "Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels." Neural Computing and Applications. 35 (8), pp. 6065-6077. https://doi.org/10.1007/s00521-022-07999-4

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali and Acharya, U. Rajendra. 2023. "Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression." Cognitive Neurodynamics. 17 (6), p. 1501–152. https://doi.org/10.1007/s11571-022-09897-w

Automated accurate emotion classification using Clefia pattern-based features with EEG signals

Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset

Deniz, Erkan, Sobahi, Nebras, Omar, Naaman, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00201-y

Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts

Hamyoon, Hessam, Chan, Wai Yee, Mohammadi, Afshin, Kuzan, Taha, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Vijayananthan, Anushya, Rahmat, Kartini, Mumin, Nazimah Ab, Leong, Sook Sam, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts." European Journal of Radiology. 157. https://doi.org/10.1016/j.ejrad.2022.110591

Explainable multi-module semantic guided attention based network for medical image segmentation

Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2022. "Explainable multi-module semantic guided attention based network for medical image segmentation." Computers in Biology and Medicine. 151 (Part A). https://doi.org/10.1016/j.compbiomed.2022.106231

TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals

Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102544

Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review

Subudhi, Asit, Dash, Pratyusa, Mohapatra, Manoranjan, Tan, Ru-San, Acharya, U. Rajendra and Sabut, Sukanta. 2022. "Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102535

L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets

Barua, Prabal Datta, Tuncer, Ilknur, Aydemir, Emrah, Faust, Oliver, Chakraborty, Subrata, Subbhuraam, Vinithasree, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102510

Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals

Uyanık, Hakan, Ozcelik, Salih Taha A., Duranay, Zeynep Bala Duranay, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102508

Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images

Barua, Prabal Datta, Baygin, Nursena, Dogan, Sengul, Baygin, Mehmet, Arunkumar, N., Fujita, Hamido, Tuncer, Turker, Tan, Ru‑San, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini Bin, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-21380-4

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

Abdar, Moloud, Salari, Soorena, Qahremani, Sina, Lam, Hak-Keung, Karray, Fakhri, Hussain, Sadiq, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2023. "UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection." Information Fusion. 90, pp. 364-381. https://doi.org/10.1016/j.inffus.2022.09.023

Mental performance classification using fused multilevel feature generation with EEG signals

Aydemir, Emrah, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Chakraborty, Subrata, Faust, Oliver, Arunkumar, N., Kaysi, Feyzi and Acharya, U. Rajendra. 2023. "Mental performance classification using fused multilevel feature generation with EEG signals." International Journal of Healthcare Management. 16 (4), pp. 574-587. https://doi.org/10.1080/20479700.2022.2130645

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Moridian, Parisa, Ghassemi, Navid, Jafari, Mahboobeh, Salloum-Asfar, Salam, Sadeghi, Delar, Khodatars, Marjane, Shoeibi, Afshin, Khosravi, Abbas, Ling, Sai Ho, Subasi, Abdulhamit, Alizadehsani, Roohallah, Gorriz, Juan M., Abdulla, S.A. and Acharya, U. Rajendra. 2022. "Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review." Frontiers in Molecular Neuroscience. 15. https://doi.org/10.3389/fnmol.2022.999605

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

Loh, Hui Wen, Ooi, Chui Ping, Seoni, Silvia, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)." Computer Methods and Programs in Biomedicine. 226. https://doi.org/10.1016/j.cmpb.2022.107161

FedStack: Personalized Activity Monitoring using Stacked Federated Learning

Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929

A review of automated sleep disorder detection

Xu, Shuting, Faust, Oliver, Seoni, Silvia, Chakraborty, Subrata, Barua, Prabal Datta, Loh, Hui Wen, Elphick, Heather, Molinari, Filippo and Acharya, U. Rajendra. 2022. "A review of automated sleep disorder detection." Computers in Biology and Medicine. 150. https://doi.org/10.1016/j.compbiomed.2022.106100

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review

Sadak, Omer, Sadak, Ferhat, Yildirim, Ozal, Iverson, Nicole M., Qureshi, Rizwan, Talo, Muhammed, Ooi, Chui Ping, Acharya, U. Rajendra, Gunasekaran, Sundaram and Alam, Tanvir. 2022. "Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review." IEEE Access. 10, pp. 98633-98648. https://doi.org/10.1109/ACCESS.2022.3207207

Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images

Kaplan, Ela, Chan, Wai Yee, Dogan, Sengul, Barua, Prabal D., Bulut, Haci Taner, Tuncer, Turker, Cizik, Mert, Tan, Ru-San and Acharya, U Rajendra. 2022. "Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images." Medical Engineering and Physics. 108. https://doi.org/10.1016/j.medengphy.2022.103895

Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images

Kaplan, Ela, Altunisik, Erman, Firat, Yasemin Ekmekyapar, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Demir, Fahrettin Burak, Tuncer, Turker, Palmer, Elizabeth, Tan, Ru-San, Yu, Ping, Soar, Jeffrey, Fujita, Hamido and Acharya, U. Rajendra. 2022. "Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images." Computer Methods and Programs in Biomedicine. 224, pp. 1-11. https://doi.org/10.1016/j.cmpb.2022.107030

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

Shoeibi, Afshin, Moridian, Parisa, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Alizadehsani, Roohallah, Kong, Yinan, Gorriz, Juan Manuel, Ramírez, Javier, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 149. https://doi.org/10.1016/j.compbiomed.2022.106053

Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?

Mohammadi, A., Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Homayoun, Hasan, Abolghasemi, Jamileh, Vogl, Thomas J., Bureau, Nathalie J., Bakhshandeh, Mohsen, Acharya, Rajendra U. and Ardakani, Ali Abbasian. 2022. "Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?" Journal of Ultrasound in Medicine. 41 (12), pp. 3079-3090. https://doi.org/10.1002/jum.16086

Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

Kobat, Sabiha Gungor, Baygin, Nursena, Yusufoglu, Elif, Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Yaman, Orhan, Celiker, Ulku, Yildirim, Hakan, Tan, Ru-San, Tuncer, Turker, Islam, Nazrul and Acharya, U. Rajendra. 2022. "Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images." Diagnostics. 12 (8). https://doi.org/10.3390/diagnostics12081975

Automated sleep apnea detection in pregnant women using wavelet-based features

Sharma, Manish, Bapodara, Sagar, Tiwari, Jainendra and Acharya, U. Rajendra. 2022. "Automated sleep apnea detection in pregnant women using wavelet-based features." Informatics in Medicine Unlocked. 32. https://doi.org/10.1016/j.imu.2022.101026

Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals

Dogan, Sengul, Baygin, Mehmet, Tasci, Burak, Loh, Hui Wen, Barua, Prabal D., Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals." Cognitive Neurodynamics. 17 (3), pp. 647-659. https://doi.org/10.1007/s11571-022-09859-2

DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis

Kuluozturk, Mutlu, Kobat, Mehmet Ali, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U Rajendra. 2022. "DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103870

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review

Joloudari, Javad Hassannataj, Mojrian, Sanaz, Nodehi, Issa, Mashmool, Amir, Zadegan, Zeynab Kiani, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Tamadon, Tahereh, Khosravi, Samiyeh, Kohnehshari, Mitra Akbari, Hassannatajjeloudari, Edris, Sharifrazi, Danial, Mosavi, Amir, Loh, Hui Wen, Tan, Ru-San and Acharya, U Rajendra. 2022. "Application of artificial intelligence techniques for automated detection of myocardial infarction: a review." Physiological Measurement. 43 (8). https://doi.org/10.1088/1361-6579/ac7fd9

Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging

Yildiri, Kadir, Yildirim, Muhammed, Eryesil, Hasan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat, Ogras, Mehmet Sezai, Artas, Hakan and Acharya, U Rajendra. 2022. "Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging." Computers and Electrical Engineering. 102. https://doi.org/10.1016/j.compeleceng.2022.108275

ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images

Key, Sefa, Demir, Sukru, Gurger, Murat, Yilmaz, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Arunkumar, N., Tan, Ru-San and Acharya, U Rajendra. 2022. "ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103864

Development of novel automated language classification model using pyramid pattern technique with speech signals

Akbal, Erhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Development of novel automated language classification model using pyramid pattern technique with speech signals." Neural Computing and Applications. 34 (23), pp. 21319-21333. https://doi.org/10.1007/s00521-022-07613-7

Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review

Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Vijayananthan, Anushya, Sahathevan, Ramesh and Acharya, U. Rajendra. 2022. "Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review." Biocybernetics and Biomedical Engineering. 42 (3), pp. 888-901. https://doi.org/10.1016/j.bbe.2022.07.001

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloud, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Tartibi, Mehrzad, Hussain, Sadiq, Sani, Zahra Alizadeh, Khodatars, Marjane, Sadeghi, Delaram, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru‑San, Acharya, U. Rajendra and Islam, Sheikh Mohammed Shariful. 2022. "RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-15374-5

Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study

Homayoun, Hassan, Chan, Wai Yee, Kuzan, Taha Yusuf, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Mohammadi, Afshin, Vijayananthan, Anushya, Rahmat, Kartini, Leong, Sook Sam, Mirza-Aghazadeh-Attari, Mohammad, Ejtehadifar, Sajjad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study." Biocybernetics and Biomedical Engineering. 42 (3), pp. 921-933. https://doi.org/10.1016/j.bbe.2022.07.004

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Khanam, Sadia, Sobhaninia, Zahra, Shoeibi, Afshin, Khozeimeh, Fahime, Sani, Zahra Alizadeh, Tan, Ru-San, Khosravi, Abbas, Nahavandi, Saeid, Kadri, Nahrizul Adib, Azizan, Muhammad Mokhzaini, Arunkumar, N. and Acharya, U. Rajendra. 2022. "RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/8733632

Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts

Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Chakraborty, Subrata, Ciaccio, Edward J., Tuncer, Turker, Kadir, Khairul Azmi Abd, Shah, Mohammad Nazri Md, Azman, Raja Rizal, Lee, Chin Chew, Ng, Kwan Hoong and Acharya, U. Rajendra. 2022. "Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts." Biocybernetics and Biomedical Engineering. 42 (3), pp. 815-828. https://doi.org/10.1016/j.bbe.2022.06.004

Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells

Karri, M., Annavarapu, Chandra Sekhara Rao, Mallik, Saurav, Zhao, Zhongming and Acharya, U. Rajendra. 2022. "Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells." Biocybernetics and Biomedical Engineering. 42 (3), pp. 797-814. https://doi.org/10.1016/j.bbe.2022.06.003

An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects

Sharma, Manish, Yadav, Anuj, Tiwari, Jainendra, Karabatak, Murat, Yildirim, Ozal and Acharya, U. Rajendra. 2022. "An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects." International Journal of Environmental Research and Public Health. 19 (12). https://doi.org/10.3390/ijerph19127176

The internet of medical things and artificial intelligence: trends, challenges, and opportunities

Kakhi, Kourosh, Alizadehsani, Roohallah, Kabir, H.M. Dipu, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "The internet of medical things and artificial intelligence: trends, challenges, and opportunities." Biocybernetics and Biomedical Engineering. 42 (3), pp. 749-771. https://doi.org/10.1016/j.bbe.2022.05.008

A novel genetic algorithm based system for the scheduling of medical treatments

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan and Acharya, Udyavara Rajendra. 2022. "A novel genetic algorithm based system for the scheduling of medical treatments." Expert Systems with Applications. 195, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.116464

PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images

Kaplan, Ela, Ekinci, Tekin, Kaplan, Selcuk, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Arunkumar, N and Acharya, U. Rajendra. 2022. "PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/6034971

An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ

Macin, Gulay, Tasci, Burak, Tasci, Irem, Faust, Oliver, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ." Applied Sciences. 12 (10). https://doi.org/10.3390/app12104920

An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds

Barua, Prabal Datta, Karasu, Mehdi, Kobat, Mehmet Ali, Balik, Yunus, Kivrak, Tarik, Baygin, Mehmet, Dogan, Sengul, Demir, Fahrettin Burak, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds." Computers in Biology and Medicine. 146, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2022.105599

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

Sadeghi, Delaram, Shoeibi, Afshin, Ghassemi, Navid, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Teshnehlab, Mohammad, Gorriz, Juan M., Khozeimeh, Fahime, Zhang, Yu-Dong, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105554

Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network

Murarka, Shruti, Wadichar, Aditya, Bhurane, Ankit, Sharma, Manish and Acharya, U. Rajendra. 2022. "Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105594

Automated accurate fire detection system using ensemble pretrained residual network

Dogan, Sengul, Barua, Prabal Datta, Kutlu, Huseyin, Baygin, Mehmet, Fujita, Hamido, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Automated accurate fire detection system using ensemble pretrained residual network." Expert Systems with Applications. 203. https://doi.org/10.1016/j.eswa.2022.117407

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Surya, Divyalakshmi Kaiyoor and Acharya, U Rajendra. 2023. "An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images." Applied Intelligence. 53 (2), pp. 1548-1566. https://doi.org/10.1007/s10489-022-03490-8

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images

El-Dahshan, El-Sayed. A, Bassiouni, Mahmoud. M, Hagag, Ahmed, Chakrabortty, Ripon K, Loh, Huiwen and Acharya, U.Rajendra. 2022. "RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images." Expert Systems with Applications. 204. https://doi.org/10.1016/j.eswa.2022.117410

Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals

Nesaragi, Naimahmed, Sharma, Ashish, Patidar, Shivnarayan and Acharya, U. Rajendra. 2022. "Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103811

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Abdar, Moloud, Fahami, Mohammad Amin, Rundo, Leonardo, Radeva, Petia, Frangi, Alejandro F., Acharya, U. Rajendra, Khosravi, Abbas, Lam, Hak-Keung, Jung, Alexander and Nahavandi, Saeid. 2023. "Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification." IEEE Transactions on Industrial Informatics. 19 (1), pp. 274-285. https://doi.org/10.1109/TII.2022.3168887

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U Rajendra. 2022. "Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105550

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

Gudigar, Anjan, U., Raghavendra, Samanth, Jyothi, Vasudeva, Akhila, A. J., Ashwal, Nayak, Krishnananda, Tan, Ru-San, Ciaccio, Edward J., Ooi, Chui Ping, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding." Informatics. 9 (2). https://doi.org/10.3390/informatics9020034

Automated detection of ADHD: Current trends and future perspective

Loh, Hui Wen, Ooi, Chui Ping, Barua, Prabal Datta, Palmer, Elizabeth E., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Automated detection of ADHD: Current trends and future perspective." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105525

Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images

Rao, B. Nageswara, Mohanty, Sudhansu, Sen, Kamal, Acharya, U. Rajendra, Cheong, Kang Hao and Sabut, Sukanta. 2022. "Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images." Computational and Mathematical Methods in Medicine. 2022. https://doi.org/10.1155/2022/3560507

Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques

Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Dharmik, Chinmay, Gangavarapu, Mokshagna Rohit, Nayak, Krishnananda, Ciaccio, Edward J., Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques." Journal of Imaging. 8 (4). https://doi.org/10.3390/jimaging8040102

EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals

Tanko, Dahiru, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals." Physiological Measurement. 43 (3), pp. 1-13. https://doi.org/10.1088/1361-6579/ac59dc

CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals

Aydemir, Emrah, Dogan, Sengul, Baygin, Mehmet, Ooi, Chui Ping, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2022. "CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals." Healthcare. 10 (4), pp. 1-18. https://doi.org/10.3390/healthcare10040643

Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals

Rajput, Jaypal Singh, Sharma, Manish, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals." International Journal of Environmental Research and Public Health. 19 (7). https://doi.org/10.3390/ijerph19074014

Heart rate variability for medical decision support systems: A review

Faust, Oliver, Hong, Wanrong, Loh, Hui Wen, Xu, Shuting, Tan, Ru-San, Chakraborty, Subrata, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Heart rate variability for medical decision support systems: A review." Computers in Biology and Medicine. 145. https://doi.org/10.1016/j.compbiomed.2022.105407

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images

Baygin, Mehmet, Yaman, Orhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images." Artificial Intelligence in Medicine. 127. https://doi.org/10.1016/j.artmed.2022.102274

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals

Sharma, Manish, Kumbhani, Divyash, Tiwari, Jainendra, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals." Computers in Biology and Medicine. 144. https://doi.org/10.1016/j.compbiomed.2022.105364

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal

Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Key, Sefa, Acharya, U. Rajendra and Cheong, Kang Hao. 2022. "A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal." Sensors. 22 (5). https://doi.org/10.3390/s22052007

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

Sobahi, Nebras, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2022. "Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105335

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features

Sharma, Manish, Bhurane,Ankit A. and Acharya, U. Rajendra. 2024. "An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12939

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals

Ari, Berna, Sobahi, Nebras, Alcin, Ömer F., Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105311

Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection

Aydemir, Emrah, Yalcinkaya, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Faust, Oliver, Dogan, Sengul, Chakraborty, Subrata, Tuncer, Turker and Acharya, Rajendra. 2022. "Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection." International Journal of Environmental Research and Public Health. 19 (4). https://doi.org/10.3390/ijerph19041939

Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma

Pham, The-Hanh, Faust, Oliver, Koh, Joel En Wei, Ciaccio, Edward J., Barua, Prabal D., Omar, Norlia, Ng, Wei Lin, Mumin, Nazimah Ab, Rahmat, Kartini and Acharya, U. Rajendra. 2022. "Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma." Expert Systems: the journal of knowledge engineering. 39 (5), pp. 1-19. https://doi.org/10.1111/exsy.12947

Application of photoplethysmography signals for healthcare systems: An in-depth review

Loh, Hui Wen, Xu, Shuting, Faust, Oliver, Ooi, Chui Ping, Barua, Prabal Datta, Chakraborty, Subrata, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of photoplethysmography signals for healthcare systems: An in-depth review." Computer Methods and Programs in Biomedicine. 216, pp. 1-14. https://doi.org/10.1016/j.cmpb.2022.106677

Aleatory-aware deep uncertainty quantification for transfer learning

Kabir, H M Dipu, Khanam, Sadia, Khozeimeh, Fahime, Khosravi, Abbas, Mondal, Subrota Kumar, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "Aleatory-aware deep uncertainty quantification for transfer learning." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105246

Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals

Sharma, Manish, Darji, Jay, Thakrar, Madhav and Acharya, U. Rajendra. 2022. "Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105224

Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review

Barua, Prabal Datta, Jahmunah, Jahmunah, Gururajan, Raj, Oh, Shu Lih, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review ." International Journal of Environmental Research and Public Health. 19 (3). https://doi.org/10.3390/ijerph19031192

Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques

Tuncer, Turker, Dogan, Sengul, Akbal, Erhan, Cicekli, Abdullah and Acharya, U. Rajendra. 2022. "Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques." Neural Computing and Applications. 34 (6), pp. 4875-4888. https://doi.org/10.1007/s00521-021-06678-0

Automated emotion recognition: Current trends and future perspectives

Maithri, M., Raghavendra, U., Gudigar, Anjan, Samanth, Jyothi, Barua, Prabal Datta, Murugappan, Murugappan, Chakole, Yashas and Acharya, U. Rajendra. 2022. "Automated emotion recognition: Current trends and future perspectives." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2022.106646

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images

Maithri, M., Balla, Dhanush G., Kumar, Santhosh, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Macherla, Shravya, Vineetha, Ravindranath, Gopalkrishna, Pratibha, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images." Computation. 10 (1). https://doi.org/10.3390/computation10010008

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques

Vidhya, V, Raghavendra, U., Gudigar, Anjan, Kasula, Praneet, Chakole, Yashas, Hegde, Ajay, Menon, Girish, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques." Informatics. 9 (1). https://doi.org/10.3390/informatics9010004

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

Bargshady, Ghazal, Zhou, Xujuan, Barua, Prabal Datta, Gururajan, Raj, Li, Yuefeng and Acharya, U. Rajendra. 2022. "Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images." Pattern Recognition Letters. 153, pp. 67-74. https://doi.org/10.1016/j.patrec.2021.11.020

DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals

Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals." Expert Systems with Applications. 193, pp. 1-10. https://doi.org/10.1016/j.eswa.2021.116447

Interpretation of radiomics features–A pictorial review

Ardakani, Ali Abbasian, Bureau, Nathalie J, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Interpretation of radiomics features–A pictorial review." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2021.106609

Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment

Sharma, Manish, Patel, Sohamkumar and Acharya, U. Rajendra. 2023. "Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12903

A review on computer aided diagnosis of acute brain stroke

Inamdar, Mahesh Anil, Raghavendra, Udupi, Gudigar, Anjan, Chakole, Yashas, Hegde, Ajay, Menon, Girish R., Barua, Prabal, Palmer, Elizabeth Emma, Cheong, Kang Hao, Chan, Wai Yee, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A review on computer aided diagnosis of acute brain stroke." Sensors. 21 (24). https://doi.org/10.3390/s21248507

Transfer learning techniques for medical image analysis: A review

Kora, Padmavathi, Ooi, Chui Ping, Faust, Oliver, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Meenakshi, K., Swaraja, K., Plawiak, Pawel and Acharya, U. Rajendra. 2022. "Transfer learning techniques for medical image analysis: A review." Biocybernetics and Biomedical Engineering. 42 (1), pp. 79-107. https://doi.org/10.1016/j.bbe.2021.11.004

Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images

Barua, Prabal Datta, Chan, Wai Yee Chan, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ciaccio, Edward J., Islam, Nazrul, Cheong, Kang Hao, Shahid, Zakia Sultana and Acharya, Rajendra. 2021. "Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images." Entropy: international and interdisciplinary journal of entropy and information studies. 23 (12). https://doi.org/10.3390/e23121651

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Alizadehsani, Roohallah, Zare, Assef, Khosravi, Abbas, Subasi, Abdulhamit, Acharya, U. Rajendra and Gorriz, Juan M.. 2022. "Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies." Biomedical Signal Processing and Control. 73. https://doi.org/10.1016/j.bspc.2021.103417

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

Koh, Joel.E.W., Ooi, Chui Ping, Lim-Ashworth, Nikki SJ., Vicnesh, Jahmunah, Tor, Hui Tian, Oh, Oh Shu, Tan, Ru-San, Acharya, U.Rajendra and Fung, Daniel Shuen Sheng. 2022. "Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals." Computers in Biology and Medicine. 140. https://doi.org/10.1016/j.compbiomed.2021.105120

Role of Artificial Intelligence in COVID-19 Detection

Gudigar, Anjan, Raghavendra, U., Nayak, Sneha, Ooi, Chui Ping, Chan, Wai Yee, Gangavarapu, Mokshagna Rohit, Dharmik, Chinmay, Samanth, Jyothi, Kadri, Nahrizul Adib, Hasikin, Khairunnisa, Barua, Prabal Datta, Chakraborty, Subrata, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Role of Artificial Intelligence in COVID-19 Detection." Sensors. 21 (23). https://doi.org/10.3390/s21238045

Application of artificial intelligence in wearable devices: Opportunities and challenges

Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas and Acharya, U. Rajendra. 2022. "Application of artificial intelligence in wearable devices: Opportunities and challenges." Computer Methods and Programs in Biomedicine. 213. https://doi.org/10.1016/j.cmpb.2021.106541

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

Alizadehsani, Roohallah, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Gorriz, Juan M., Hussain, Sadiq, Arco, Juan E., Sani, Zahra Alizadeh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data." ACM Transactions on Multimedia Computing Communications and Applications. 17 (3s), pp. 1-24. https://doi.org/10.1145/3462635

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

Roui, Mohammad Beheshti, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Plawiak, Pawel, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs." Knowledge-Based Systems. 231. https://doi.org/10.1016/j.knosys.2021.107419

Tetromino pattern based accurate EEG emotion classification model

Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet and Acharya, U. Rajendra. 2022. "Tetromino pattern based accurate EEG emotion classification model." Artificial Intelligence in Medicine. 123. https://doi.org/10.1016/j.artmed.2021.102210

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review

Khodatars, Marjane, Shoeibi, Afshin, Sadeghi, Delaram, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Zare, Assef, Kong, Yinan, Khosravi, Abbas, Nahavandi, Saeid, Hussain, Sadiq, Acharya, U. Rajendra and Berk, Michael. 2021. "Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review." Computers in Biology and Medicine. 139. https://doi.org/10.1016/j.compbiomed.2021.104949

Review of deep learning-based atrial fibrillation detection studies

Murat, Fatma, Sadak, Ferhat, Yildirim, Ozal, Talo, Muhammed, Murat, Ender, Karabatak, Murat, Demir, Yakup, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Review of deep learning-based atrial fibrillation detection studies." International Journal of Environmental Research and Public Health. 18 (21). https://doi.org/10.3390/ijerph182111302

Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)

Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034

Automated covid-19 and heart failure detection using dna pattern technique with cough sounds

Kobat, Mehmet Ali, Kivrak, Tarik, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated covid-19 and heart failure detection using dna pattern technique with cough sounds." Diagnostics. 11 (11). https://doi.org/10.3390/diagnostics11111962

Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis

Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Hazarika, Manali, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis." Journal of Fungi. 7 (10). https://doi.org/10.3390/jof7100850

Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization

Gudigar, Anjan, Nayak, Sneha, Samanth, Jyothi, Raghavendra, U., Ashwal, A J, Barua, Prabal Datta, Hasan, Md Nazmul, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization." International Journal of Environmental Research and Public Health. 18 (19). https://doi.org/10.3390/ijerph181910003

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study

Ardakani, Ali Abbasian, Kwee, Robert M., Mirza-Aghazadeh-Attari, Mohammad, Castro, Horacio Matias, Kuzan, Taha Yusuf, Altintoprak, Kubra Murzoglu, Besutti, Giulia, Monelli, Filippo, Faeghi, Fairborz, Acharya, U Rajendra and Mohammadi, Afshin. 2021. "A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study." Pattern Recognition Letters. 152, pp. 42-49. https://doi.org/10.1016/j.patrec.2021.09.012

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition

Dogan, Abdullah, Akay, Merve, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Dogru, Ali Hikmet and Acharya, U. Rajendra. 2021. "PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition." Computers in Biology and Medicine. 138. https://doi.org/10.1016/j.compbiomed.2021.104867

Exploring deep features and ECG attributes to detect cardiac rhythm classes

Murat, Fatma, Yildirim, Ozal, Talo, Muhammed, Demir, Yakup, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Exploring deep features and ECG attributes to detect cardiac rhythm classes." Knowledge-Based Systems. 232. https://doi.org/10.1016/j.knosys.2021.107473

Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images

Pathan, S., Siddalingaswamy, P.C., Kumar, Preetham, Pai, Manohara MM, Ali, Tanweer and Acharya, U. Rajendra. 2021. "Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104835

Novel automated PD detection system using aspirin pattern with EEG signals

Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, Rajendra. 2021. "Novel automated PD detection system using aspirin pattern with EEG signals." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104841

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

Raghavendra, U., Gudigar, Anjan, Chakole, Yashas, Kasula, Praneet, Subha, D. P., Kadri, Nahrizul Adib, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12803

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Senousy, Zakaria, Abdelsamea, Mohammed M., Gaber, Mohamed Medhat, Abdar, Moloud, Acharya, U. Rajendra, Khosravi, Abbas and Nahavandi, Saeid. 2022. "MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification." IEEE Transactions on Biomedical Engineering. 69 (2), pp. 818-829. https://doi.org/10.1109/TBME.2021.3107446

Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal

Karhade, Jay, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Tripathy, Rajesh Kumar and Acharya, U. Rajendra. 2021. "Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal." Applied Sciences. 11 (17). https://doi.org/10.3390/app11177920

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals

Radhakrishnan, Tejas, Karhade, Jay, Ghosh, S.K., Muduli, P.R., Tripathy, R.K. and Acharya, U. Rajendra. 2021. "AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals." Computers in Biology and Medicine. 137, p. wave. https://doi.org/10.1016/j.compbiomed.2021.104783

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study

Raghavendra, U., Gudigar, Anjan, Rao, Tejaswi N., Rajinikanth, V., Ciaccio, Edward J., Yeong, Chai Hong, Satapathy, S.C., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study." International Journal of Imaging Systems and Technology. 32 (2), pp. 501-516. https://doi.org/10.1002/ima.22646

Automated arrhythmia detection based on rr intervals

Faust, Oliver, Kareem, Murtadha, Ali Ali, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection based on rr intervals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081446

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Moridian, Parisa, Rezaei, Mitra, Alizadehsani, Roohallah, Khozeimeh, Fahime, Gorriz, Juan Manuel, Heras, Jónathan, Panahiazar, Maryam, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review." Computers in Biology and Medicine. 136. https://doi.org/10.1016/j.compbiomed.2021.104697

Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals

Sharma, Manish, Patel, Virendra, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081380

Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images

Faust, Oliver, Koh, Joel En Wei, Jahmunah, Vicnesh, Sabut, Sukant, Ciaccio, Edward J., Majid, Arshad, Ali, Ali, Lip, Gregory Y. H. and Acharya, U. Rajendra. 2021. "Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158059

Automatic covid-19 detection using exemplar hybrid deep features with x-ray images

Barua, Prabal Datta, Muhammad Gowdh, Nadia Fareeda, Rahmat, Kartini, Ramli, Norlisah, Ng, Wei Lin, Chan, Wai Yee, Kuluozturk, Mutlu, Dogan, Sengul, Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Wen, Tao, Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "Automatic covid-19 detection using exemplar hybrid deep features with x-ray images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158052

Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques

Karadal, Can Haktan, Kaya, M. Cagri, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques." Expert Systems with Applications. 185. https://doi.org/10.1016/j.eswa.2021.115659

Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals

Loh, Hui Wen, Ooi, Chui Ping, Palmer, Elizabeth, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, U. Rajendra. 2021. "Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals." Electronics. 10 (14). https://doi.org/10.3390/electronics10141740

Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals

Loh, Hui Wen, Ooi, Chui Ping, Aydemir, Emrah, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals." Expert Systems: the journal of knowledge engineering. 39 (3). https://doi.org/10.1111/exsy.12773

Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals

Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Dogan, Sengul, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals." Biomedical Signal Processing and Control. 70. https://doi.org/10.1016/j.bspc.2021.102936

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Abdar, Moloud, Fahami, Mohammad Amin, Chakrabarti, Satarupa, Khosravi, Abbas, Pławiak, Paweł, Acharya, U. Rajendra, Tadeusiewicz, Ryszard and Nahavandi, Saeid. 2021. "BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification." Information Sciences. 577, pp. 353-378. https://doi.org/10.1016/j.ins.2021.07.024

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images

Chan, Yam Meng, Ng, E.Y.K., Jahmunah, V., Koh, Joel En Wei, Oh, Shu Lih, Han, Wei Shan, Yip, Leonard Wei Leon and Acharya, U. Rajendra. 2021. "Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102895

Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals

Sharma, Manish, Tiwari, Jainendra, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals." Electronics. 10 (13). https://doi.org/10.3390/electronics10131531

A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke

Kareem, Murtadha, Lei, Ningrong, Ali Ali, Ciaccio, Edward J., Acharya, U. Rajendra and Faust, Oliver. 2021. "A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102818

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network

Loh, Hui Wen, Ooi, Chui Ping, Dhok, Shivani G., Sharma, Manish, Bhurane, Ankit A. and Acharya, U. Rajendra. 2022. "Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network." Applied Intelligence. 52 (3), pp. 2903-2917. https://doi.org/10.1007/s10489-021-02597-8

An automated skin melanoma detection system with melanoma-index based on entropy features

Cheong, Kang Hao, Tang, Kenneth Jian Wei, Zhao, Xinxing, Koh, Joel En Wei, Faust, Oliver ., Gururajan, Raj, Ciaccio, Edward J., Rajinikanth, V. and Acharya, U. Rajendra. 2021. "An automated skin melanoma detection system with melanoma-index based on entropy features." Biocybernetics and Biomedical Engineering. 41 (3), pp. 997-1012. https://doi.org/10.1016/j.bbe.2021.05.010

Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives

Vidhya, V., Gudigar, Anjan, Raghavendra, U., Hegde, Ajay, Menon, Girish R., Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives." International Journal of Environmental Research and Public Health. 18 (12). https://doi.org/10.3390/ijerph18126499

A novel automated autism spectrum disorder detection system

Oh, Shu Lih, Jahmunah, V., Arunkumar, N., Abdulhay, Enas W., Gururajan, Raj, Kadri, Nahrizul, Ciaccio, Edward J., Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "A novel automated autism spectrum disorder detection system." Complex and Intelligent Systems. 7 (5), pp. 2399-2413. https://doi.org/10.1007/s40747-021-00408-8

Deep learning model for automated kidney stone detection using coronal CT images

Yildirim, Kadir, Bozdag, Pinar Gundogan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat and Acharya, U. Rajendra. 2021. "Deep learning model for automated kidney stone detection using coronal CT images." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104569

Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records

Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records." Information Sciences. 575, pp. 323-337. https://doi.org/10.1016/j.ins.2021.06.022

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Faust, Oliver, Arunkumar, N., Abdulhay, Enas W., Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2021. "Automated ASD detection using hybrid deep lightweight features extracted from EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104548

Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification

Lai, Joel Weijia, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18116099

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552

Automated detection of hypertension using physiological signals: A review

Sharma, Manish, Rajput, J.S., Tan, Ru San and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using physiological signals: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115838

Epileptic seizures detection using deep learning techniques: A review

Acharya, Udyavara Rajendra, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Alizadehsani, Roohallah, Panahiazar, Maryam, Khozeimeh, Fahime, Zare, Assef, Hosseini-Nejad, Hossein, Khosravi, Abbas, Atiya, Amir F., Aminshahidi, Diba, Hussain, Sadiq, Rouhani, Modjtaba and Nahavandi, Saeid. 2021. "Epileptic seizures detection using deep learning techniques: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115780

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, Moloud, Pourpanah, Farhad, Hussain, Sadiq, Rezazadegan, Dana, Liu, Li, Ghavamzadeh, Mohammad, Fieguth, Paul, Cao, Xiaochun, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, S.. 2021. "A review of uncertainty quantification in deep learning: Techniques, applications and challenges." Information Fusion. 76, pp. 243-297. https://doi.org/10.1016/j.inffus.2021.05.008

Automated detection of shockable ECG signals: A review

Hammad, Mohamed, Rajesh, Kandala N.V.P.S, Abdelatey, Amira, Abdar, Moloud, Zomorodi-Moghadam, Mariam, Tan, Ru-San, Acharya, U. Rajendra, Plawiak, Joanna, Tadeusiewicz, Ryszard, Makarenkov, Vladimir, Sarrafzadegan, Nizal, Khosravi, Abbas, Nahavandi, Saeid, Abd El-Latif, Ahmed A. and Plawiak, Pawel. 2021. "Automated detection of shockable ECG signals: A review." Information Sciences. 571, pp. 580-604. https://doi.org/10.1016/j.ins.2021.05.035

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals

Sharma, Manish, Kumbhani, Divyash, Yadav, Anuj and Acharya, U. Rajendra. 2022. "Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals." Applied Intelligence. 52 (2), pp. 1325-1337. https://doi.org/10.1007/s10489-021-02422-2

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images

Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Gangavarapu, Mokshagna Rohit, Kudva, Abhilash, Paramasivam, Ganesh, Nayak, Krishnananda, Tan, Ru-San, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102733

PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals." IEEE Sensors Journal. 21 (15), pp. 17017-17024. https://doi.org/10.1109/JSEN.2021.3080135

Automated EEG signal classification using chaotic local binary pattern

Tuncer,Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated EEG signal classification using chaotic local binary pattern." Expert Systems with Applications. 182. https://doi.org/10.1016/j.eswa.2021.115175

Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Tan Ru and Acharya, U. Rajendra. 2021. "Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104457

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

Maheshwari, Daksh, Ghosh, S.K., Tripathy, R.K., Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104428

Application of substitution box of present cipher for automated detection of snoring sounds

Dogan, Sengul, Akbal, Erhan, Tuncer, Turker and Acharya, U. Rajendra. 2021. "Application of substitution box of present cipher for automated detection of snoring sounds." Artificial Intelligence in Medicine. 117. https://doi.org/10.1016/j.artmed.2021.102085

Efficient deep neural network model for classification of grasp types using sEMG signals

Coskun, Musab, Yildirim, Ozal, Demir, Yakup and Acharya, U. Rajendra. 2022. "Efficient deep neural network model for classification of grasp types using sEMG signals." Journal of Ambient Intelligence and Humanized Computing. 13 (9), pp. 4437-4450. https://doi.org/10.1007/s12652-021-03284-9

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images

Nayak, Deepak Ranjan, Das, Dibyasundar, Majhi, Banshidhar, Bhandary, Sulatha V. and Acharya, U. Rajendra. 2021. "ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images." Biomedical Signal Processing and Control. 67. https://doi.org/10.1016/j.bspc.2021.102559

Automated major depressive disorder detection using melamine pattern with EEG signals

Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-y

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Abdar, Moloud, Samami, Maryam, Mahmoodabad, Sajjad Dehghani, Doan, Thang, Mazoure, Bogdan, Hashemifesharaki, Reza, Liu, Li, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2021. "Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104418

Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758]

Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2021. "Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758] ." Computer Methods and Programs in Biomedicine. 205. https://doi.org/10.1016/j.cmpb.2021.106118

Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals

Sharma, Manish, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals." Knowledge-Based Systems. 224. https://doi.org/10.1016/j.knosys.2021.107078

Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals

Faust, Oliver and Acharya, U. Rajendra. 2021. "Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals." Expert Systems with Applications. 181. https://doi.org/10.1016/j.eswa.2021.115031

A hybrid deep learning approach for gland segmentation in prostate histopathological images

Salvi, Massimo, Bosco, Martino, Molinaro, Luca, Gambella, Alessandro, Papotti, Mauro, Acharya, U. Rajendra and Molinari, Filippo. 2021. "A hybrid deep learning approach for gland segmentation in prostate histopathological images." Artificial Intelligence in Medicine. 115. https://doi.org/10.1016/j.artmed.2021.102076

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102622

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach

Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010

Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images

Zhao, Xinxing, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images." Biocybernetics and Biomedical Engineering. 41 (2), pp. 456-473. https://doi.org/10.1016/j.bbe.2021.02.006

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals." IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3070608

Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals." Biocybernetics and Biomedical Engineering. 41 (2), pp. 679-689. https://doi.org/10.1016/j.bbe.2021.04.008

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F. and Acharya, U. Rajendra. 2021. "Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)." Annals of Operations Research. https://doi.org/10.1007/s10479-021-04006-2

Development of accurate classification of heavenly bodies using novel machine learning techniques

Wierzbinski, Michal, Pławiak, Pawel, Hammad, Mohamed and Acharya, U. Rajendra. 2021. "Development of accurate classification of heavenly bodies using novel machine learning techniques." Soft Computing. 25 (10), pp. 7213-7228. https://doi.org/10.1007/s00500-021-05687-4

Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals

Sharma, Manish, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals." International Journal of Environmental Research and Public Health. 18 (6). https://doi.org/10.3390/ijerph18063087

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals

Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals." Information Sciences. 565, pp. 91-104. https://doi.org/10.1016/j.ins.2021.01.088

ECG Language processing (ELP): A new technique to analyze ECG signals

Mousavi, Sajad, Afghah, Fatemeh, Khadem, Fatemeh and Acharya, U. Rajendra. 2021. "ECG Language processing (ELP): A new technique to analyze ECG signals." Computer Methods and Programs in Biomedicine. 202. https://doi.org/10.1016/j.cmpb.2021.105959

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

Sharma, Manish, Dhiman, Harsh S. and Acharya, U. Rajendra. 2021. "Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals." Computers in Biology and Medicine. 131. https://doi.org/10.1016/j.compbiomed.2021.104246

A novel machine learning framework for automated detection of arrhythmias in ECG segments

Pham, The-Hanh, Sree, Vinitha, Mapes, John, Dua, Sumeet, Lih, Oh Shu, Koh, Joel E. W., Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A novel machine learning framework for automated detection of arrhythmias in ECG segments." Journal of Ambient Intelligence and Humanized Computing. 12 (11), pp. 10145-10162. https://doi.org/10.1007/s12652-020-02779-1

Hybrid decision support to monitor atrial fibrillation for stroke prevention

Lei, Ningrong, Kareem, Murtadha, Moon, Seung Ki, Ciaccio, Edward J., Acharya, U Rajendra and Faust, Oliver. 2021. "Hybrid decision support to monitor atrial fibrillation for stroke prevention." International Journal of Environmental Research and Public Health. 18 (2). https://doi.org/10.3390/ijerph18020813

Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG

Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG." Cognitive Neurodynamics. 15 (4), pp. 661-674. https://doi.org/10.1007/s11571-020-09655-w

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals

Tor, Hui Tian, Ooi, Chui Ping, Lim-Ashworth, Nikki SJ, Koh, Joel Koh En, Jahmunah, V., Oh, Shu Lih, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2021. "Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals." Computer Methods and Programs in Biomedicine. 200. https://doi.org/10.1016/j.cmpb.2021.105941

Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images

Raghavendra, U., Pham, The-Hanh, Gudigar, Anjan, Vidhya, V., Rao, B. Nageswara, Sabut, Sukanta, Koh, Joel Koh En, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images." Complex and Intelligent Systems. 7 (2), pp. 929-940. https://doi.org/10.1007/s40747-020-00257-x

Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication

Javan, Ali Akbar Kekha, Shoeibi, Afshin, Zare, Assef, Izadi, Navid Hosseini, Jafari, Mahboobeh, Alizadehsani, Roohallah, Moridian, Parisa, Mosavi, Amir, Acharya, U. Rajendra and Nahavandi, Saeid. 2021. "Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication." Sensors. 21 (1). https://doi.org/10.3390/s21010254

Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment

Faeghi, Fariborz, Ardakani, Ali Abbasian, Acharya, U. Rajendra, Mirza-Aghazadeh-Attari, Mohammad, Abolghasemi, Jamileh, Ejtehadifar, Sajjad and Mohammadi, Afshin. 2021. "Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment." European Journal of Radiology. 136. https://doi.org/10.1016/j.ejrad.2020.109518

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease

Zomorodi-Moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U. Rajendra. 2021. "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease." Expert Systems: the journal of knowledge engineering. 38 (1), pp. 1-17. https://doi.org/10.1111/exsy.12485

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

Sawant, Nidhi Kalidas, Patidar, Shivnarayan, Nesaragi, Naimahmed and Acharya, U. Rajendra. 2021. "Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform." Biocybernetics and Biomedical Engineering. 41 (1), pp. 111-126. https://doi.org/10.1016/j.bbe.2020.12.007

Artificial Intelligence and Machine Learning in Emergency Medicine

Tang, Kenneth Jian Wei, Ang, Candice Ke En, Constantinides, Theodoros, Rajinikanth, V., Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Artificial Intelligence and Machine Learning in Emergency Medicine." Biocybernetics and Biomedical Engineering. 41 (1), pp. 156-172. https://doi.org/10.1016/j.bbe.2020.12.002

Automated prediction of sepsis using temporal convolutional network

Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957

Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients

Alizadehsani, Roohallah, Sani, Zahra Alizadeh, Behjati, Mohaddeseh, Roshanzamir, Zahra, Hussain, Sadiq, Abedini, Niloofar, Hasanzadeh, Fereshteh, Khosravi, Abbas, Shoeibi, Afshin, Roshanzamir, Mohamad, Moradnejad, Pardis, Nahavandi, Saeid, Khozeimeh, Fahime, Zare, Asse, Panahiazar, Maryam, Acharya, U. Rajendra and Islam, Sheikh Mohammad Shariful. 2021. "Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients." Journal of Medical Virology. 93 (4), pp. 2307-2320. https://doi.org/10.1002/jmv.26699

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis

Salvi, Massimo, Acharya, U. Rajendra, Molinari, Filippo and Meiburger, Kristen M.. 2021. "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104129

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals

Faust, Oliver, Barika, Ragab Ragab, Shenfield, Alex, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Accurate detection of sleep apnea with long short-term memory network based on RR interval signals." Knowledge-Based Systems. 212. https://doi.org/10.1016/j.knosys.2020.106591

Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques." Knowledge-Based Systems. 211. https://doi.org/10.1016/j.knosys.2020.106547

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020

Alizadehsani, Roohallah, Khosravi, Abbas, Roshanzamir, Mohamad, Abdar, Moloud, Sarrafzadegan, Nizal, Shafie, Davood, Khozeimeh, Fahime, Shoeibi, Afshin ., Nahavandi, Saeid, Panahiazar, Maryam, Bishara, Andrew, Beygui, Ramin E., Puri, Rishi, Kapadia, Samir R., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104095

Accurate detection of myocardial infarction using non linear features with ECG signals

Sridhar, Chaitra, Lih, Oh Shu, Jahmunah, V., Koh, Joel E. W., Ciaccio, Edward J., San, Tan Ru, Arunkumar, N., Kadry, Seifedine and Acharya, U. Rajendra. 2021. "Accurate detection of myocardial infarction using non linear features with ECG signals." Journal of Ambient Intelligence and Humanized Computing. 12 (3), pp. 3227-3244. https://doi.org/10.1007/s12652-020-02536-4

Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals

Rajput, Jaypal Singh, Sharma, Manish, Kumbhani, Divyash and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals." Informatics in Medicine Unlocked. 26. https://doi.org/10.1016/j.imu.2021.100736

An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device

Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2020. "An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device ." Computer Methods and Programs in Biomedicine. 197. https://doi.org/10.1016/j.cmpb.2020.105758

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik and Acharya, U. Rajendra. 2021. "ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 115, pp. 279-294. https://doi.org/10.1016/j.future.2020.08.005

COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings

Ardakani, Ali Abbasian, Acharya, U. Rajendra, Habibollahi, Sina and Mohammadi, Afshin. 2021. "COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings." European Radiology. 31 (1), pp. 121-130. https://doi.org/10.1007/s00330-020-07087-y

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images

Pham, The-Hanh, Raghavendra, U., Koh, Joel En Wei, Gudigar, Anjan, Chan, Wai Yee, Ramli Hamid, Marlina Tanty, Rahmat, Kartini, Fadzli, Farhana, Ng, Kwan Hoong, Ooi, Chui Ping, Ciaccio, Edward J., Fujita, Hamido and Acharya, U. Rajendra. 2021. "Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images." Journal of Ambient Intelligence and Humanized Computing. 12 (2), pp. 2121-2129. https://doi.org/10.1007/s12652-020-02310-6

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Abdar, Moloud, Beykikhoshk, Adham, Khosravi, Abbas, Nahavandi, Saeid, Plawiak, Pawel, Tan, Ru San and Acharya, Rajendra. 2022. "Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12573

ResNet-Attention model for human authentication using ECG signals

Hammad, Mohamed, Pławiak, Paweł, Wang, Kuanquan and Acharya, Udyavara Rajendra. 2021. "ResNet-Attention model for human authentication using ECG signals." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12547

Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach

Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Plawiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal. 2020. "Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach." Pattern Recognition Letters. 133, pp. 33-40. https://doi.org/10.1016/j.patrec.2020.02.010

Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features

Bhurane, Ankit A., Dhok, Shivani, Sharma, Manish, Yuvaraj, Rajamanickam, Murugappan, Murugappan and Acharya, U. Rajendra. 2022. "Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12472

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Ng, Kwan Hoong, Chan, Wai Yee, Rahmat, Kartini and Acharya, U. Rajendra. 2021. "2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12474

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

Khare, Smith K., Blanes-Vidal, Victoria, Nadimi, Esmaeil S. and Acharya, U. Rajendra. 2024. "Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102019

Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds

Sobahi, Nebras, Atila, Orhan, Deniz, Erkan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds." Biocybernetics and Biomedical Engineering. 42 (3), pp. 1066-1080. https://doi.org/10.1016/j.bbe.2022.08.005

Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals

Gupta, Kapil, Bajaj, Varun, Ansari, Irshad Ahmad and Acharya, U. Rajendra. 2022. "Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals." Biocybernetics and Biomedical Engineering. 42 (3), pp. 784-796. https://doi.org/10.1016/j.bbe.2022.06.001