A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging. - Si Yong Yeo; Liang Zhong 001; Yi Su 001; Ru-San Tan; Dhanjoo N. Ghista (Medical Biol. Eng. Comput., 2009)

A geometrical approach for evaluating left ventricular remodeling in myocardial infarct patients. - Yi Su 001; Liang Zhong 001; Calvin Chi-Wan Lim; Dhanjoo N. Ghista; Terrance Chua; Ru-San Tan (Comput. Methods Programs Biomed., 2012)

Regional Comparison of Left Ventricle Systolic Wall Stress Reveals Intraregional Uniformity in Healthy Subjects. - Soo Kng Teo; Si Yong Yeo; May-Ling Tan; Calvin Chi-Wan Lim; Liang Zhong 001; Ru-San Tan; Yi Su 001 (CinC, 2013)

Reconstructing patient-specific cardiac models from contours via Delaunay triangulation and graph-cuts. - Min Wan; Calvin Chi-Wan Lim; Junmei Zhang; Yi Su 001; Si Yong Yeo; Desheng Wang; Ru-San Tan; Liang Zhong 001 (EMBC, 2013)

Area stenosis associated with non-invasive fractional flow reserve obtained from coronary CT images. - Jun-Mei Zhang; Tong Luo; Yunlong Huo; Min Wan; Terrance Chua; Ru-San Tan; Ghassan S. Kassab; Swee Yaw Tan; Liang Zhong 001 (EMBC, 2013)

Effects of Stenosis on the Porcine Left Anterior Descending Arterial Tree. - Liang Zhong 001; Boyang Su; Jun-Mei Zhang; Yunlong Huo; Hwa Liang Leo; Ghassan S. Kassab; Ru-San Tan (EMBC, 2013)

FSI simulation of intra-ventricular flow in patient-specific ventricular model with both mitral and aortic valves. - Liang Zhong 001; Boyang Su; Jun-Mei Zhang; Hwa Liang Leo; Ru-San Tan (EMBC, 2013)

Computer-based assessment of left ventricular wall stiffness in patients with ischemic dilated cardiomyopathy. - Yi Su 001; Soo Kng Teo; Ru-San Tan; Chi-Wan Lim; Liang Zhong 001 (Computer-Aided Diagnosis, 2013)

Right Ventricle Segmentation by Temporal Information Constrained Gradient Vector Flow. - XuLei Yang; Si Yong Yeo; Yi Su 001; Calvin Chi-Wan Lim; Min Wan; Liang Zhong 001; Ru-San Tan (SMC, 2013)

Automatic Correction of Motion Artifacts in 4D Left Ventricle Model Reconstructed from MRI. - Yi Su 001; May-Ling Tan; Calvin Chi-Wan Lim; Soo Kng Teo; Senthil Kumar Selvaraj; Min Wan; Liang Zhong 001; Ru-San Tan (CinC, 2014)

Automated Algorithm for Computing Left Ventricle Volume Changes from Cine-MR Images. - Soo Kng Teo; Min Wan; Calvin Chi-Wan Lim; Liang Zhong 001; Ru-San Tan; Yi Su 001 (CinC, 2014)

Left ventricular regional shape dynamics analysis by three-dimensional cardiac magnetic resonance imaging associated with left ventricular function in first-time myocardial infarction patients. - Min Wan; Soo Kng Teo; XuLei Yang; Jun-Mei Zhang; Xiaodan Zhao; Wong Sum Thai; Calvin Chi-Wan Lim; Liang Zhong 001; Ru-San Tan; Yi Su 001 (EMBC, 2014)

Left ventricle segmentation by dynamic shape constrained random walks. - XuLei Yang; Yi Su 001; Min Wan; Si Yong Yeo; Calvin Chi-Wan Lim; Sum Thai Wong; Liang Zhong 001; Ru-San Tan (EMBC, 2014)

Graph-cuts based reconstructing patient specific right ventricle: First human study. - Liang Zhong 001; Min Wan; Yi Su 001; Soo Kng Teo; Calvin Chi-Wan Lim; Xiaodan Zhao; Jun-Mei Zhang; Boyang Su; Ju Le Tan; Ru-San Tan (EMBC, 2014)

Characterization and quantification of curvature using independent coordinates method in the human left ventricle by magnetic resonance imaging to identify the morphology subtype of hypertrophy cardiomyopathy. - Liang Zhong 001; Xiaodan Zhao; Min Wan; Jun-Mei Zhang; Boyang Su; Hak Chiaw Tang; Ru-San Tan (EMBC, 2014)

Computer-based assessment of left ventricular regional ejection fraction in patients after myocardial infarction. - Soo Kng Teo; Yi Su 001; Ru-San Tan; Liang Zhong 001 (Computer-Aided Diagnosis, 2014)

Numerical simulation of patient-specific left ventricular model with both mitral and aortic valves by FSI approach. - Boyang Su; Liang Zhong 001; Xi-Kun Wang; Jun-Mei Zhang; Ru-San Tan; John Carson Allen; Soon Keat Tan; Sangho Kim 004; Hwa Liang Leo (Comput. Methods Programs Biomed., 2014)

Automatic Generation of Surface Meshes for Right Ventricle with 1-to-1 Vertex Correspondence from Cine-MR Images. - Yi Su 001; May-Ling Tan; Soo Kng Teo; Liang Zhong 001; Ru-San Tan (CinC, 2015)

Novel method for atrioventricular motion assessment from three-dimensional cine magnetic resonance imaging. - Shuang Leng; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001 (EMBC, 2015)

Automatic localization of mitral valve orifice in three-dimensional left cardiac model. - Min Wan; Liang Zhong 001; Jun-Mei Zhang; Xiaodan Zhao; Ru-San Tan; Wei Huang 013; Xiaofeng Wan (EMBC, 2015)

Computer-based assessment of ventricular mechanical synchrony from magnetic resonance imaging. - Xiaodan Zhao; Shuang Leng; Ru-San Tan; Liang Zhong 001 (EMBC, 2015)

Quantification of coronary artery Stenosis by Area Stenosis from cardiac CT angiography. - Jiayin Zhou; Weimin Huang 002; Yanling Chi; Yuping Duan; Liang Zhong 001; Xiaodan Zhao; Junmei Zhang; Wei Xiong 001; Ru-San Tan; Kyaw Kyar Toe (EMBC, 2015)

Automatic generation of endocardial surface meshes with 1-to-1 correspondence from cine-MR images. - Yi Su 001; Soo Kng Teo; Chi-Wan Lim; Liang Zhong 001; Ru-San Tan (Computer-Aided Diagnosis, 2015)

Computer-based assessment of right ventricular regional ejection fraction in patients with repaired Tetralogy of Fallot. - Soo Kng Teo; S. T. Wong; May-Ling Tan; Yi Su 001; Liang Zhong 001; Ru-San Tan (Computer-Aided Diagnosis, 2015)

A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT Angiography. - Yanling Chi; Weimin Huang 002; Jiayin Zhou; Liang Zhong 001; Swee Yaw Tan; Keng Yung Jih Felix; Low Choon Seng Sheon; Ru-San Tan (MLMI, 2015)

Computer-aided diagnosis of Myocardial Infarction using ultrasound images with DWT, GLCM and HOS methods: A comparative study. - K. Sudarshan Vidya; E. Y. K. Ng; U. Rajendra Acharya; Siaw Meng Chou; Ru-San Tan; Dhanjoo N. Ghista (Comput. Biol. Medicine, 2015)

An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Vinitha S. Sree; Wei Jie Eugene Lim; Dhanjoo N. Ghista; Ru-San Tan (Knowl. Based Syst., 2015)

A 65-nm 0.35-V 7.1-μW memory-less adaptive PCG processor for wearable long-term cardiac monitoring. - Chao Wang 016; Jianmin Zhang; Jun Zhou 017; Xin Liu 015; Ru-San Tan; Liang Zhong 001; Kevin T. C. Chai (A-SSCC, 2016)

Statistical Left Ventricular Deformation Analysis. - Si Yong Yeo; XuLei Yang; Like Gobeawan; Soo Kng Teo; Liang Zhong 001; Ru-San Tan; Yi Su 001 (CinC, 2016)

Atrioventricular junction (AVJ) motion tracking: A software tool with ITK/VTK/Qt. - Pengdong Xiao; Shuang Leng; Xiaodan Zhao; Hua Zou; Ru-San Tan; Philip Wong; Liang Zhong 001 (EMBC, 2016)

Characterization of patient-specific biventricular mechanics in heart failure with preserved ejection fraction: Hyperelastic warping. - Hua Zou; Xiaodan Zhao; Xi Ce; Lik Chuan Lee; Martin Genet; Yi Su 001; Ru-San Tan; Liang Zhong 001 (EMBC, 2016)

An integrated index for automated detection of infarcted myocardium from cross-sectional echocardiograms using texton-based features (Part 1). - K. Vidya Sudarshan; U. Rajendra Acharya; E. Y. K. Ng; Ru-San Tan; Siaw Meng Chou; Dhanjoo N. Ghista (Comput. Biol. Medicine, 2016)

Data mining framework for identification of myocardial infarction stages in ultrasound: A hybrid feature extraction paradigm (PART 2). - K. Sudarshan Vidya; U. Rajendra Acharya; E. Y. K. Ng; Ru-San Tan; Siaw Meng Chou; Dhanjoo N. Ghista (Comput. Biol. Medicine, 2016)

Cardiac image segmentation by random walks with dynamic shape constraint. - XuLei Yang; Yi Su 001; Rubing Duan; Haijin Fan; Si Yong Yeo; Calvin Chi-Wan Lim; Liang Zhong 001; Ru-San Tan (IET Comput. Vis., 2016)

Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Shu Lih Oh; Muhammad Adam; Joel E. W. Koh; Jen Hong Tan; Dhanjoo N. Ghista; Roshan Joy Martis; Chua Kuang Chua; Chua Kok Poo; Ru-San Tan (Knowl. Based Syst., 2016)

Comparison of Left Ventricular Curvedness Derived from CMR Imaging with the Wall Motion Score Index for Male Patients after First-time Myocardial Infarction. - Soo Kng Teo; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001; Yi Su 001 (CinC, 2017)

Characterization of Hypertrophic Cardiomyopathy using Left Ventricular Regional Wall Thickness derived from CMR Imaging. - Soo Kng Teo; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001; Yi Su 001 (CinC, 2017)

Stenosis detection and quantification on cardiac CTCA using panoramic MIP of coronary arteries. - Yanling Chi; Weimin Huang 002; Jiayin Zhou; Kyaw Kyar Toe; Jun-Mei Zhang; Philip Wong; Soo Teik Lim; Ru-San Tan; Liang Zhong 001 (EMBC, 2017)

Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals. - U. Rajendra Acharya; K. Vidya Sudarshan; Joel E. W. Koh; Roshan Joy Martis; Jen Hong Tan; Shu Lih Oh; Muhammad Adam; Yuki Hagiwara; Muthu Rama Krishnan Mookiah; Chua Kok Poo; Chua Kuang Chua; Ru-San Tan (Biomed. Signal Process. Control., 2017)

A deep convolutional neural network model to classify heartbeats. - U. Rajendra Acharya; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Muhammad Adam; Arkadiusz Gertych; Ru-San Tan (Comput. Biol. Medicine, 2017)

Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals. - K. Vidya Sudarshan; U. Rajendra Acharya; Shu Lih Oh; Muhammad Adam; Jen Hong Tan; Chua Kuang Chua; Chua Kok Poo; Ru-San Tan (Comput. Biol. Medicine, 2017)

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study. - U. Rajendra Acharya; Hamido Fujita; Muhammad Adam; Shu Lih Oh; K. Vidya Sudarshan; Jen Hong Tan; Joel E. W. Koh; Yuki Hagiwara; Chua Kuang Chua; Chua Kok Poo; Ru-San Tan (Inf. Sci., 2017)

Characterization of Pulmonary Arterial Hypertension Using Right Ventricular Regional Curvedness Derived From CMR Imaging. - Soo Kng Teo; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001; Yi Su 001 (CinC, 2018)

Reconstruction of Patient-Specific Left Atrial Geometry From CMR Imaging. - Soo Kng Teo; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001; Yi Su 001 (CinC, 2018)

Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images. - Weimin Huang 002; Lu Huang; Zhiping Lin 001; Su Huang; Yanling Chi; Jiayin Zhou; Junmei Zhang; Ru-San Tan; Liang Zhong 001 (EMBC, 2018)

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging. - Shuang Leng; Xulei Yang; Xiaodan Zhao; Zeng Zeng; Yi Su 001; Angela S. Koh; David Sim; Ju Le Tan; Ru-San Tan; Liang Zhong 001 (EMBC, 2018)

Cardiac Image Segmentation Using Memory Persistence Methodology. - Xulei Yang; Yi Su 001; Shuang Leng; Yong Yeo; Feng Yang 011; Ru-San Tan; Liang Zhong 001 (EMBC, 2018)

Comparison of Image Acquisition Techniques in Four-Dimensional Flow Cardiovascular MR on 3 Tesla in Volunteers and Tetralogy of Fallot Patients. - Jun-Mei Zhang; Ru-San Tan; Shuo Zhang; Rob J. van der Geest; Pankaj Garg; Bao Ru Leong; Jennifer Bryant; Tarinee Tangcharoen; Xiaodan Zhao; Ju Le Tan; Jos J. M. Westenberg; Liang Zhong 001 (EMBC, 2018)

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. - Oliver Faust; Alex Shenfield; Murtadha Kareem; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats. - Shu Lih Oh; Eddie-Yin-Kwee Ng; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank. - Manish Sharma 001; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals. - Jen Hong Tan; Yuki Hagiwara; Winnie Pang; Ivy Lim; Shu Lih Oh; Muhammad Adam; Ru-San Tan; Ming Chen; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Arrhythmia detection using deep convolutional neural network with long duration ECG signals. - Özal Yildirim; Pawel Plawiak; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction. - Feng Yang 011; Xulei Yang; Soo Kng Teo; Gary Kee Khoon Lee; Liang Zhong 001; Ru-San Tan; Yi Su 001 (Comput. Medical Imaging Graph., 2018)

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals. - Muhammad Adam; Shu Lih Oh; K. Vidya Sudarshan; Joel E. W. Koh; Yuki Hagiwara; Jen Hong Tan; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2018)

An efficient compression of ECG signals using deep convolutional autoencoders. - Özal Yildirim; Ru-San Tan; U. Rajendra Acharya (Cogn. Syst. Res., 2018)

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review. - Yuki Hagiwara; Hamido Fujita; Shu Lih Oh; Jen Hong Tan; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Inf. Sci., 2018)

Analysis of three-dimensional endocardial and epicardial strains from cardiac magnetic resonance in healthy subjects and patients with hypertrophic cardiomyopathy. - Xiaodan Zhao; Ru-San Tan; Hak Chiaw Tang; Shuang Leng; Jun-Mei Zhang; Liang Zhong 001 (Medical Biol. Eng. Comput., 2018)

Classifying HCM Subtypes via Left Ventricular Two-Dimensional Curvature and Dynamic Time Wrapping. - Min Wan; Yuli Yang; Xiaodan Zhao; Shuang Leng; Jun-Mei Zhang; Ru-San Tan; Liang Zhong 001 (CinC, 2019)

Reconstructing Cardiac Shape via Constrained Voronoi Diagram and Cyclic Dynamic Time Wrapping From CMR. - Min Wan; Yuli Yang; Xiaodan Zhao; Shuang Leng; Jun-Mei Zhang; Ru-San Tan; Liang Zhong 001 (CinC, 2019)

Feature Tracking for Ventricular Strain Assessment in Heart Failure with Preserved Ejection Fraction. - Liang Zhong 001; Shuang Leng; Xiaodan Zhao; Ru-San Tan (CinC, 2019)

Impaired Right Atrial Strain is Associated with Decompensated Hemodynamics in Pulmonary Arterial Hypertension. - Liang Zhong 001; Shuang Leng; Xiaodan Zhao; Ju Le Tan; Ru-San Tan (CinC, 2019)

Automatic Segmentation of Coronary Artery Lumen via Anisotropic Graph-cuts. - Min Wan; Libin Ma; Xiaodan Zhao; Shuang Leng; Jun-Mei Zhang; Ru-San Tan; Liang Zhong 001 (EMBC, 2019)

A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images. - Xulei Yang; Gabriel Tjio; Feng Yang 011; Jie Ding 007; Senthil Kumar; Shuang Leng; Xiaodan Zhao; Ru-San Tan; Liang Zhong 001; Yi Su 001 (EMBC, 2019)

Elevated Right Atrial Pressure Associated with Alteration of Left Ventricular Contractility and Ventricular-Arterial Coupling in Pulmonary Artery Hypertension. - Xiaodan Zhao; Ru-San Tan; Ju Le Tan; Ping Chai; Lynette L. Teo; Marielle V. Fortier; Teng Hong Tan; Shuang Leng; Wen Ruan; Jun-Mei Zhang; Jennifer Ann Bryant; Jonathan Yap; et al. (EMBC, 2019)

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Muhammad Adam; Ru-San Tan (Appl. Intell., 2019)

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types. - Shu Lih Oh; Eddie-Yin-Kwee Ng; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features. - Manish Sharma 001; Swapnil Singh; Abhishek Kumar 003; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

A new machine learning technique for an accurate diagnosis of coronary artery disease. - Moloud Abdar; Wojciech Ksiazek; U. Rajendra Acharya; Ru-San Tan; Vladimir Makarenkov; Pawel Plawiak (Comput. Methods Programs Biomed., 2019)

Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation. - U. Rajendra Acharya; Oliver Faust; Edward J. Ciaccio; Joel Koh En Wei; Shu Lih Oh; Ru-San Tan; Hasan Garan (Comput. Methods Programs Biomed., 2019)

A new approach for arrhythmia classification using deep coded features and LSTM networks. - Özal Yildirim; Ulas Baran Baloglu; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2019)

An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals. - Ankit A. Bhurane; Manish Sharma 001; Ru-San Tan; U. Rajendra Acharya (Cogn. Syst. Res., 2019)

Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study. - Anjan Gudigar; U. Raghavendra; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Future Gener. Comput. Syst., 2019)

Classification of myocardial infarction with multi-lead ECG signals and deep CNN. - Ulas Baran Baloglu; Muhammed Talo; Özal Yildirim; Ru-San Tan; U. Rajendra Acharya (Pattern Recognit. Lett., 2019)

Global weighted LBP based entropy features for the assessment of pulmonary hypertension. - Anjan Gudigar; U. Raghavendra; Tom Devasia; Krishnananda Nayak; Sheik Mohammed Danish; Gautam Kamath 002; Jyothi Samanth; Umesh M. Pai; Vidya Nayak; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Pattern Recognit. Lett., 2019)

Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image. - Anjan Gudigar; Jyothi Samanth; U. Raghavendra; Chinmay Dharmik; Akhila Vasudeva; Padmakumar R; Ru-San Tan; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2020)

Comprehensive electrocardiographic diagnosis based on deep learning. - Shu Lih Oh; Jahmunah Vicnesh; Ru-San Tan; Edward J. Ciaccio; Toshitaka Yamakawa; Masayuki Tanabe; Makiko Kobayashi; Oliver Faust; U. Rajendra Acharya (Artif. Intell. Medicine, 2020)

Automated detection of severity of hypertension ECG signals using an optimal bi-orthogonal wavelet filter bank. - Jaypal Singh Rajput; Manish Sharma 001; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM. - Ashish Sharma 007; Niranjan Garg; Shivnarayan Patidar; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated diagnostic tool for hypertension using convolutional neural network. - Desmond Chuang Kiat Soh; E. Y. K. Ng; V. Jahmunah 001; Shu Lih Oh; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

A computational intelligence tool for the detection of hypertension using empirical mode decomposition. - Desmond Chuang Kiat Soh; E. Y. K. Ng; V. Jahmunah 001; Shu Lih Oh; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Corrigendum to 'Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation' Computer Methods and Programs in Biomedicine 175 (2019) 163-178. - U. Rajendra Acharya; Oliver Faust; Edward J. Ciaccio; Joel Koh En Wei; Shu Lih Oh; Ru-San Tan; Hasan Garan (Comput. Methods Programs Biomed., 2020)

Classification of heart sound signals using a novel deep WaveNet model. - Shu Lih Oh; Jahmunah Vicnesh; Ooi Chui Ping; Ru-San Tan; Edward J. Ciaccio; Toshitaka Yamakawa; Masayuki Tanabe; Makiko Kobayashi; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2020)

Accurate deep neural network model to detect cardiac arrhythmia on more than 10, 000 individual subject ECG records. - Özal Yildirim; Muhammed Talo; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2020)

Three-dimensional biventricular strains in pulmonary arterial hypertension patients using hyperelastic warping. - Hua Zou; Shuang Leng; Xi Ce; Xiaodan Zhao; Angela S. Koh; Fei Gao; Ju Le Tan; Ru-San Tan; John Carson Allen; Lik Chuan Lee; Martin Genet; Liang Zhong 001 (Comput. Methods Programs Biomed., 2020)

Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters. - Manish Sharma 001; Ru-San Tan; U. Rajendra Acharya (Neural Comput. Appl., 2020)

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. - Elham Nasarian; Moloud Abdar; Mohammad Amin Fahami; Roohallah Alizadehsani; Sadiq Hussain; Mohammad Ehsan Basiri; Mariam Zomorodi Moghadam; Xujuan Zhou; Pawel Plawiak; U. Rajendra Acharya; Ru-San Tan; Nizal Sarrafzadegan (Pattern Recognit. Lett., 2020)

Model uncertainty quantification for diagnosis of each main coronary artery stenosis. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Mohammad Hossein Zangooei; Abbas Khosravi; Saeid Nahavandi; Ru-San Tan; U. Rajendra Acharya (Soft Comput., 2020)

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images. - Anjan Gudigar; U. Raghavendra; Jyothi Samanth; Mokshagna Rohit Gangavarapu; Abhilash Kudva; Ganesh Paramasivam; Krishnananda Nayak; Ru-San Tan; Filippo Molinari; Edward J. Ciaccio; U. Rajendra Acharya (Biomed. Signal Process. Control., 2021)

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. - Roohallah Alizadehsani; Abbas Khosravi; Mohamad Roshanzamir; Moloud Abdar; Nizal Sarrafzadegan; Davood Shafie; Fahime Khozeimeh; Afshin Shoeibi; Saeid Nahavandi; Maryam Panahiazar; Andrew Bishara; Ramin E. Beygui; et al. (Comput. Biol. Medicine, 2021)

Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals. - V. Jahmunah 001; E. Y. K. Ng; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10, 000 individual subject ECG records. - Mehmet Baygin; Türker Tuncer; Sengül Dogan; Ru-San Tan; U. Rajendra Acharya (Inf. Sci., 2021)

Automated detection of shockable ECG signals: A review. - Mohamed Hammad; Kandala N. V. P. S. Rajesh; Amira Abdelatey; Moloud Abdar; Mariam Zomorodi Moghadam; Ru-San Tan; U. Rajendra Acharya; Joanna Plawiak; Ryszard Tadeusiewicz; Vladimir Makarenkov; Nizal Sarrafzadegan; Abbas Khosravi; et al. (Inf. Sci., 2021)

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals. - Türker Tuncer; Sengül Dogan; Ru-San Tan; U. Rajendra Acharya (Inf. Sci., 2021)

Accurate detection of myocardial infarction using non linear features with ECG signals. - Chaitra Sridhar; Shu Lih Oh; V. Jahmunah 001; Joel E. W. Koh; Edward J. Ciaccio; Ru-San Tan; Arunkumar N.; Seifedine Nimer Kadry; U. Rajendra Acharya (J. Ambient Intell. Humaniz. Comput., 2021)

Exploring deep features and ECG attributes to detect cardiac rhythm classes. - Fatma Murat; Özal Yildirim; Muhammed Talo; Yakup Demir; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Knowl. Based Syst., 2021)

MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance. - Jianguo Chen 001; Xulei Yang; Shuang Leng; Ru-San Tan; Zeng Zeng; Liang Zhong 001 (ICIP, 2022)

An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds. - Prabal Datta Barua; Mehdi Karasu; Mehmet Ali Kobat; Yunus Balik; Tarik Kivrak; Mehmet Baygin; Sengül Dogan; Fahrettin Burak Demir; Türker Tuncer; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Heart rate variability for medical decision support systems: A review. - Oliver Faust; Wanrong Hong; Hui Wen Loh; Shuting Xu; Ru-San Tan; Subrata Chakraborty; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals. - V. Jahmunah 001; E. Y. K. Ng; Ru-San Tan; Shu Lih Oh; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals. - Joel E. W. Koh; Ooi Chui Ping; Nikki S. J. Lim-Ashworth; Jahmunah Vicnesh; Hui Tian Tor; Shu Lih Oh; Ru-San Tan; U. Rajendra Acharya; Daniel Shuen Sheng Fung (Comput. Biol. Medicine, 2022)

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection. - Nebras Sobahi; Abdulkadir Sengür; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images. - Ela Kaplan; Erman Altunisik; Yasemin Ekmekyapar Firat; Prabal Datta Barua; Sengul Dogan; Mehmet Baygin; Fahrettin Burak Demir; Turker Tuncer; Elizabeth Emma Palmer; Ru-San Tan; Ping Yu 004; Jeffrey Soar; et al. (Comput. Methods Programs Biomed., 2022)

Application of photoplethysmography signals for healthcare systems: An in-depth review. - Hui Wen Loh; Shuting Xu; Oliver Faust; Ooi Chui Ping; Prabal Datta Barua; Subrata Chakraborty; Ru-San Tan; Filippo Molinari; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. - Javad Hassannataj Joloudari; Roohallah Alizadehsani; Issa Nodehi; Sanaz Mojrian; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (CoRR, 2022)

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. - Bartosz Grabowski; Przemyslaw Glomb; Wojciech Masarczyk; Pawel Plawiak; Özal Yildirim; U. Rajendra Acharya; Ru-San Tan (CoRR, 2022)

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. - Roohallah Alizadehsani; Mohamad Roshanzamir; Moloud Abdar; Adham Beykikhoshk; Abbas Khosravi; Saeid Nahavandi; Pawel Plawiak; Ru-San Tan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays. - Vidya K. Sudarshan; Reshma A. Ramachandra; Nicole Si Min Tan; Smit Ojha; Ru-San Tan (Int. J. Imaging Syst. Technol., 2022)

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

Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques. - Anjan Gudigar; U. Raghavendra; Jyothi Samanth; Chinmay Dharmik; Mokshagna Rohit Gangavarapu; Krishnananda Nayak; Edward J. Ciaccio; Ru-San Tan; Filippo Molinari; U. Rajendra Acharya (J. Imaging, 2022)

Deep Image Analysis for Microalgae Identification. - Jeffrey Soar; Shu Lih Oh; Hui Wen Loh; Aletha Ward; Ekta Sharma; Ravinesh C. Deo; Prabal Datta Barua; Ru-San Tan; Eliezer Rinen; U. Rajendra Acharya (iiWAS, 2023)

Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal. - Prabal Datta Barua; Makiko Kobayashi; Masayuki Tanabe; Mehmet Baygin; Jose Kunnel Paul; Thomas Iype; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2023)

FF-BTP Model for Novel Sound-Based Community Emotion Detection. - Arif Metehan Yildiz; Masayuki Tanabe; Makiko Kobayashi; Ilknur Tuncer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2023)

Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database. - Prabal Datta Barua; Tugce Keles; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Caner Feyzi Demir; Hamido Fujita; Ru-San Tan; Chui Ping Ooi; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

Solving the multiplication problem of a large language model system using a graph-based method. - Turker Tuncer; Sengul Dogan; Mehmet Baygin; Prabal Datta Barua; Abdul Hafeez-Baig; Ru-San Tan; Subrata Chakraborty; U. Rajendra Acharya (CoRR, 2023)

Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals. - Gulay Tasci; Hui Wen Loh; Prabal Datta Barua; Mehmet Baygin; Burak Tasci; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Ru-San Tan; U. Rajendra Acharya (Knowl. Based Syst., 2023)

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals. - V. Jahmunah 001; E. Y. K. Ng; Ru-San Tan; Shu Lih Oh; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

An accurate automated speaker counting architecture based on James Webb Pattern. - Prabal Datta Barua; Arif Metehan Yildiz; Nida Canpolat; Tugce Keles; Sengul Dogan; Mehmet Baygin; Ilknur Tuncer; Turker Tuncer; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2023)

Most complicated lock pattern-based seismological signal framework for automated earthquake detection. - Suat Gokhan Ozkaya; Nursena Baygin; Prabal Datta Barua; Arvind R. Singh; Mohit Bajaj; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Int. J. Appl. Earth Obs. Geoinformation, 2023)

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. - Fahime Khozeimeh; Roohallah Alizadehsani; Milad Shirani; Mehrzad Tartibi; Afshin Shoeibi; Hamid Alinejad-Rokny; Chandrashekhar Harlapur; Sayed Javed Sultanzadeh; Abbas Khosravi; Saeid Nahavandi; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals. - Prabal Datta Barua; Emrah Aydemir; Sengul Dogan; Mehmet Ali Kobat; Fahrettin Burak Demir; Mehmet Baygin; Turker Tuncer; Shu Lih Oh; Ru-San Tan; U. Rajendra Acharya (Int. J. Mach. Learn. Cybern., 2023)

Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images. - Suat Kamil Sut; Mustafa Koc; Gokhan Zorlu; Ihsan Serhatlioglu; Prabal Datta Barua; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (J. Digit. Imaging, 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. - Kenan Erdem; Mehmet Ali Kobat; Mehmet Nail Bilen; Yunus Balik; Sevim Alkan; Feyzanur Cavlak; Ahmet Kursad Poyraz; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Mehmet Erten; et al. (Int. J. Imaging Syst. Technol., 2023)

FGPat18: Feynman graph pattern-based language detection model using EEG signals. - Serkan Kirik; Sengul Dogan; Mehmet Baygin; Prabal Datta Barua; Caner Feyzi Demir; Tugce Keles; Arif Metehan Yildiz; Nursena Baygin; Ilknur Tuncer; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. - Mehmet Erten; Ilknur Tuncer; Prabal Datta Barua; Kubra Yildirim; Sengul Dogan; Turker Tuncer; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (J. Digit. Imaging, 2023)

Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients. - Chien Wei Oei; Eddie-Yin-Kwee Ng; Matthew Hok Shan Ng; Ru-San Tan; Yam Meng Chan; Lai Gwen Chan; Udyavara Rajendra Acharya (Sensors, 2023)

Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals. - Nursena Baygin; Emrah Aydemir; Prabal Datta Barua; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Expert Syst. Appl., 2023)

NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers. - Prabal Datta Barua; Sengul Dogan; Gurkan Kavuran; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Neural Comput. Appl., 2023)

Swin-LBP: a competitive feature engineering model for urine sediment classification. - Mehmet Erten; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Neural Comput. Appl., 2023)

Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds. - Ihsan Topaloglu; Prabal Datta Barua; Arif Metehan Yildiz; Tugce Keles; Sengul Dogan; Mehmet Baygin; Huseyin Fatih Gul; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2023)

Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. - Yige Yan; Jun Cheng 003; Xulei Yang; Zaiwang Gu; Shuang Leng; Ru-San Tan; Liang Zhong 001; Jagath C. Rajapakse (MICCAI (1), 2024)

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps. - Sara Bagherzadeh; Ahmad Shalbaf; Afshin Shoeibi; Mahboobeh Jafari; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2024)

Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review. - Anjan Gudigar; U. Raghavendra; M. Maithri; Jyothi Samanth; Mahesh Anil Inamdar; Vidhya V.; Jahmunah Vicnesh; Mukund A. Prabhu; Ru-San Tan; Chai Hong Yeong; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2024)

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. - Dilek Ozkan; Oguzhan Katar; Murat Ak; Mugahed A. Al-antari; Nehir Yasan-Ak; Özal Yildirim; Hasan Saeed Mir; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2024)

FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech. - Turker Tuncer; Sengul Dogan; Mehmet Baygin; Prabal Datta Barua; Elizabeth Emma Palmer; Sonja March; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2024)

Automated anxiety detection using probabilistic binary pattern with ECG signals. - Mehmet Baygin; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Jen Hong Tan; Sonja March; Ru-San Tan; Filippo Molinari; U. Rajendra Acharya (Comput. Methods Programs Biomed., 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. - Hardik Telangore; Victor Azad; Manish Sharma 001; Ankit A. Bhurane; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023). - Hamed Zamanian; Ahmad Shalbaf; M. R. Zali; A. R. Khalaj; P. Dehghan; M. Tabesh; B. Hatami; Roohallah Alizadehsani; Ru-San Tan; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. - Yasin Sadeghi Bazargani; Majid Mirzaei; Navid Sobhi; Mirsaeed Abdollahi; Ali Jafarizadeh; Siamak Pedrammehr; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (CoRR, 2024)

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. - Danial Sharifrazi; Nouman Javed; Javad Hassannataj Joloudari; Roohallah Alizadehsani; Prasad N. Paradkar; Ru-San Tan; U. Rajendra Acharya; Asim Bhatti (CoRR, 2024)

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals. - El-Sayed A. El-Dahshan; Mahmoud M. Bassiouni; Smith K. Khare; Ru-San Tan; U. Rajendra Acharya (Expert Syst. Appl., 2024)

Novel tiny textural motif pattern-based RNA virus protein sequence classification model. - Mehmet Erten; Emrah Aydemir; Prabal Datta Barua; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Ru-San Tan; Abdul Hafeez-Baig; U. Rajendra Acharya (Expert Syst. Appl., 2024)

DCEnt-PredictiveNet: A novel explainable hybrid model for time series forecasting. - Vidya K. Sudarshan; Reshma A. Ramachandra; Smit Ojha; Ru-San Tan (Neurocomputing, 2024)

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals. - Serkan Kirik; Irem Tasci; Prabal Datta Barua; Arif Metehan Yildiz; Tugce Keles; Mehmet Baygin; Ilknur Tuncer; Sengul Dogan; Turker Tuncer; Aruna Devi; Ru-San Tan; U. Rajendra Acharya (Knowl. Based Syst., 2024)

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. - Mirsaeed Abdollahi; Ali Jafarizadeh; Amirhosein Ghafouri Asbagh; Navid Sobhi; Keysan Pourmoghtader; Siamak Pedrammehr; Houshyar Asadi; Ru-San Tan; Roohallah Alizadehsani; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). - Massimo Salvi; Madhav R. Acharya; Silvia Seoni; Oliver Faust; Ru-San Tan; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds. - Mehmet Kiliç; Prabal Datta Barua; Tugce Keles; Arif Metehan Yildiz; Ilknur Tuncer; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Mutlu Kuluozturk; Ru-San Tan; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images. - Prabal Datta Barua; Serkan Kirik; Sengul Dogan; Canan Koc; Fatih Özkaynak; Mehmet Baygin; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 2024)

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection. - Mehmet Ali Kobat; Prabal Datta Barua; Turker Tuncer; Sengul Dogan; Tarik Kivrak; Yusuf Akin; Giliyar Muralidhar Bairy; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 2024)

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. - Javad Hassannataj Joloudari; Sanaz Mojrian; Hamid Saadatfar; Issa Nodehi; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Roohallah Alizadehsani; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 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. - Prabal Datta Barua; Tugce Keles; Mutlu Kuluozturk; Mehmet Ali Kobat; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Neural Comput. Appl., 2024)

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications. - Anirudh Atmakuru; Subrata Chakraborty; Massimo Salvi; Oliver Faust; Prabal Datta Barua; Makiko Kobayashi; Ru-San Tan; Filippo Molinari; Abdul Hafeez-Baig; U. Rajendra Acharya (IEEE Access, 2025)

Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Prabal Datta Barua; Ravinesh C. Deo; Makiko Kobayashi; U. Rajendra Acharya (IEEE Access, 2025)

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System. - Bedriye Dogan; Hursit Burak Mutlu; Muhammed Yildirim; Sercan Yalçin; Serpil Aslan; Niranjana Sampathila; Özal Yildirim; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2025)

Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024). - Madhav R. Acharya; Ravinesh C. Deo; Xiaohui Tao 001; Prabal Datta Barua; Aruna Devi; Anirudh Atmakuru; Ru-San Tan (Comput. Methods Programs Biomed., 2025)

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024). - Süleyman Yaman; Özkan Aslan; Hasan Güler; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2025)

Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023). - Anirudh Atmakuru; Alen Shahini; Subrata Chakraborty; Silvia Seoni; Massimo Salvi; Abdul Hafeez-Baig; Sadaf Rashid; Ru-San Tan; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 2025)

Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014-2024). - Mahboobeh Jafari; Xiaohui Tao 001; Prabal Datta Barua; Ru-San Tan; U. Rajendra Acharya (Inf. Fusion, 2025)

A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. - Alen Shahini; Aditya Prabhakara Kamath; Ekta Sharma; Massimo Salvi; Ru-San Tan; Siuly Siuly; Silvia Seoni; Rahul Ganguly; Aruna Devi; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Inf. Fusion, 2025)

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review. - Ali Kohan; Amir Zahedi; Roohallah Alizadehsani; Ru-San Tan; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2025)

Current and future roles of artificial intelligence in retinopathy of prematurity. - Ali Jafarizadeh; Shadi Farabi Maleki; Parnia Pouya; Navid Sobhi; Mirsaeed Abdollahi; Siamak Pedrammehr; Chee Peng Lim; Houshyar Asadi; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (Artif. Intell. Rev., 2025)

ConcatNeXt: An automated blood cell classification with a new deep convolutional neural network. - Mehmet Erten; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 2025)

TQCPat: Tree Quantum Circuit Pattern-based Feature Engineering Model for Automated Arrhythmia Detection using PPG Signals. - Mehmet Ali Gelen; Turker Tuncer; Mehmet Baygin; Sengul Dogan; Prabal Datta Barua; Ru-San Tan; U. Rajendra Acharya (J. Medical Syst., 2025)