Visualization of Electrocardiogram and Heartrate. - U. Rajendra Acharya; U. C. Niranjan (AMIA, 1997)

Compact storage of medical images with patient information. - U. Rajendra Acharya; Deepthi Anand; P. Subbanna Bhat; U. C. Niranjan (IEEE Trans. Inf. Technol. Biomed., 2001)

Comprehensive visualization of cardiac health using electrocardiograms. - U. Rajendra Acharya; P. Subbanna Bhat; U. C. Niranjan (Comput. Biol. Medicine, 2002)

Transmission and storage of medical images with patient information. - U. Rajendra Acharya; P. Subbanna Bhat; M. Sathish Kumar; Lim Choo Min (Comput. Biol. Medicine, 2003)

Classification of heart rate data using artificial neural network and fuzzy equivalence relation. - U. Rajendra Acharya; P. Subbanna Bhat; S. Sitharama Iyengar; Ashok Rao; Sumeet Dua (Pattern Recognit., 2003)

Simultaneous storage of patient information with medical images in the frequency domain. - U. Rajendra Acharya; U. C. Niranjan; S. Sitharama Iyengar; N. Kannathal; Lim Choo Min (Comput. Methods Programs Biomed., 2004)

Cardiac Health Diagnosis Using Heart Rate Variability Signals - A Comparative Study. - N. Kannathal; U. Rajendra Acharya; Choo Min Lim; P. K. Sadasivan; S. S. Iyengar 001 (Intell. Autom. Soft Comput., 2004)

Non-linear analysis of EEG signals at various sleep stages. - U. Rajendra Acharya; Oliver Faust; N. Kannathal; TjiLeng Chua; Swamy Laxminarayan (Comput. Methods Programs Biomed., 2005)

Characterization of EEG - A comparative study. - N. Kannathal; U. Rajendra Acharya; Choo Min Lim; P. K. Sadasivan (Comput. Methods Programs Biomed., 2005)

Entropies for detection of epilepsy in EEG. - N. Kannathal; Lim Choo Min; U. Rajendra Acharya; P. K. Sadasivan (Comput. Methods Programs Biomed., 2005)

Computer-Based Classification of Eye Diseases. - U. Rajendra Acharya; N. Kannathal; E. Y. K. Ng; Lim Choo Min; Jasjit S. Suri (EMBC, 2006)

Cardiac health diagnosis using data fusion of cardiovascular and haemodynamic signals. - N. Kannathal; U. Rajendra Acharya; E. Y. K. Ng; S. M. Krishnan; Lim Choo Min; Swamy Laxminarayan (Comput. Methods Programs Biomed., 2006)

Erratum to "Entropies for detection of epilepsy in EEG" [Comput. Methods Prog. Biomed. 80 (2005) 187-194]. - N. Kannathal; Lim Choo Min; U. Rajendra Acharya; P. K. Sadasivan (Comput. Methods Programs Biomed., 2006)

Heart rate variability: a review. - U. Rajendra Acharya; Paul K. Joseph; N. Kannathal; Choo Min Lim; Jasjit S. Suri (Medical Biol. Eng. Comput., 2006)

Numerical modelling of biopotential field for detection of breast tumour. - E. Y. K. Ng; W. Kee Ng; L. S. J. Sim; U. Rajendra Acharya (Comput. Biol. Medicine, 2007)

Detection and differentiation of breast cancer using neural classifiers with first warning thermal sensors. - E. Y. K. Ng; U. Rajendra Acharya; Louis G. Keith; Susan Lockwood (Inf. Sci., 2007)

Automatic identification of cardiac health using modeling techniques: A comparative study. - U. Rajendra Acharya; Meena Sankaranarayanan; Jagadish Nayak; Chen Xiang; Toshiyo Tamura (Inf. Sci., 2008)

Identification of different stages of diabetic retinopathy using retinal optical images. - Wong Li Yun; U. Rajendra Acharya; Y. V. Venkatesh; Caroline Chee; Lim Choo Min; E. Y. K. Ng (Inf. Sci., 2008)

Application of Higher Order Spectra for the Identification of Diabetes Retinopathy Stages. - U. Rajendra Acharya; Chua Kuang Chua; E. Y. K. Ng; Wenwei Yu; Caroline Chee (J. Medical Syst., 2008)

Computer-Based Identification of Breast Cancer Using Digitized Mammograms. - U. Rajendra Acharya; Eddie-Yin-Kwee Ng; Y. H. Chang; J. Yang; G. J. L. Kaw (J. Medical Syst., 2008)

Automated Identification of Diabetic Type 2 Subjects with and without Neuropathy Using Wavelet Transform on Pedobarograph. - U. Rajendra Acharya; Peck Ha Tan; Tavintharan Subramaniam; Toshiyo Tamura; Kuang Chua Chua; Seach Chyr Ernest Goh; Lim Choo Min; Shu Yi Diana Goh; Kang Rui Conrad Chung; Chelsea Law (J. Medical Syst., 2008)

Imaging Systems of Human Eye: A Review. - U. Rajendra Acharya; Wong Li Yun; E. Y. K. Ng; Wenwei Yu; Jasjit S. Suri (J. Medical Syst., 2008)

Automated Identification of Diabetic Retinopathy Stages Using Digital Fundus Images. - Jagadish Nayak; P. Subbanna Bhat; U. Rajendra Acharya; Lim Choo Min; Manjunath Kagathi (J. Medical Syst., 2008)

A comparative study between the two-dimensional and three-dimensional human eye models. - Eddie-Yin-Kwee Ng; Ean-Hin Ooi; U. Rajendra Acharya (Math. Comput. Model., 2008)

Use of Data Mining Techniques for Improved Detection of Breast Cancer with Biofield Diagnostic System. - Subbhuraam Vinitha Sree; E. Y. K. Ng; G. J. L. Kaw; U. Rajendra Acharya (EANN, 2009)

Analysis of Normal Human Eye with Different Age Groups using Infrared Images. - U. Rajendra Acharya; E. Y. K. Ng; Gerk Chang Yee; Tan Jian Hua; Manjunath Kagathi (J. Medical Syst., 2009)

Automated Diagnosis of Glaucoma Using Digital Fundus Images. - Jagadish Nayak; U. Rajendra Acharya; P. Subbanna Bhat; Nakul Shetty; Teik-Cheng Lim (J. Medical Syst., 2009)

Efficient Storage and Transmission of Digital Fundus Images with Patient Information Using Reversible Watermarking Technique and Error Control Codes. - Jagadish Nayak; P. Subbanna Bhat; U. Rajendra Acharya; M. Sathish Kumar (J. Medical Syst., 2009)

Comparative Study on the Use of Analytical Software to Identify the Different Stages of Breast Cancer Using Discrete Temperature Data. - Joanna M. Y. Tan; E. Y. K. Ng; U. Rajendra Acharya; Louis G. Keith; Jim Holmes (J. Medical Syst., 2009)

Automated study of ocular thermal images: Comprehensive analysis of corneal health with different age group subjects and validation. - Jen Hong Tan; E. Y. K. Ng; U. Rajendra Acharya; Caroline Chee (Digit. Signal Process., 2010)

Analysis and Automatic Identification of Sleep Stages Using Higher Order Spectra. - U. Rajendra Acharya; Eric Chern-Pin Chua; Kuang Chua Chua; Lim Choo Min; Toshiyo Tamura (Int. J. Neural Syst., 2010)

Automatic Identification of Epileptic and Background EEG Signals Using Frequency Domain Parameters. - Oliver Faust; U. Rajendra Acharya; Lim Choo Min; Bernhard H. C. Sputh (Int. J. Neural Syst., 2010)

Identification of Cataract and Post-cataract Surgery Optical Images Using Artificial Intelligence Techniques. - U. Rajendra Acharya; Wenwei Yu; Kuanyi Zhu; Jagadish Nayak; Teik-Cheng Lim; Joey Yiptong Chan (J. Medical Syst., 2010)

Frontal Plane Vectorcardiograms: Theory and Graphics Visualization of Cardiac Health Status. - Dhanjoo N. Ghista; U. Rajendra Acharya; T. Nagenthiran (J. Medical Syst., 2010)

Analysis of Myocardial Infarction Using Discrete Wavelet Transform. - E. S. Jayachandran; Paul K. Joseph; U. Rajendra Acharya (J. Medical Syst., 2010)

Reliable and Robust Transmission and Storage Techniques for Medical Images with Patient Information. - Myagmarbayar Nergui; U. Sripati Acharya; U. Rajendra Acharya; Wenwei Yu (J. Medical Syst., 2010)

EEG Signal Analysis: A Survey. - Subha D. Puthankattil; Paul K. Joseph; U. Rajendra Acharya; Choo Min Lim (J. Medical Syst., 2010)

Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; Peng Chuan Alvin Ang; Ganapathy Krishnamurthi; José C. R. Seabra; João M. Sanches; Jasjit S. Suri (EMBC, 2011)

Application of higher order cumulants to ECG signals for the cardiac health diagnosis. - Roshan Joy Martis; U. Rajendra Acharya; Ajoy Kumar Ray; Chandan Chakraborty (EMBC, 2011)

CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images. - Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Guang Zeng; Paulo Sergio Rodrigues; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2011)

CARES: Completely Automated Robust Edge Snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images: a two stage system combining an intensity-based feature approach with first order absolute moments. - Filippo Molinari; U. Rajendra Acharya; Guang Zeng; Jasjit S. Suri (Image Processing, 2011)

Systems engineering principles for the design of biomedical signal processing systems. - Oliver Faust; U. Rajendra Acharya; Bernhard H. C. Sputh; Lim Choo Min (Comput. Methods Programs Biomed., 2011)

An adaptive PI algorithm for regulation of blood pressure of hypertension patients. - Kuanyi Zhu; U. Rajendra Acharya; C. M. Lim (Int. J. Model. Identif. Control., 2011)

Application of Recurrence Quantification Analysis for the Automated Identification of Epileptic EEG Signals. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Subhagata Chattopadhyay; Wenwei Yu; Peng Chuan Alvin Ang (Int. J. Neural Syst., 2011)

Automatic Detection of Epileptic EEG Signals Using Higher Order cumulant Features. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Jasjit S. Suri (Int. J. Neural Syst., 2011)

Application of Higher Order Spectra to Identify Epileptic EEG. - Kuang Chua Chua; Vinod Chandran; U. Rajendra Acharya; Choo Min Lim (J. Medical Syst., 2011)

Towards the Systematic Development of Medical Networking Technology. - Oliver Faust; Ravindra Shetty; Subbhuraam Vinitha Sree; Sripathi Acharya; U. Rajendra Acharya; E. Y. K. Ng; Chua Kok Poo; Jasjit S. Suri (J. Medical Syst., 2011)

Probabilistic Information Structure of Human Walking. - Myagmarbayar Nergui; Chieko Murai; Yuka Koike; Wenwei Yu; U. Rajendra Acharya (J. Medical Syst., 2011)

Topic of Special Issue: Distributed Diagnosis and Home Healthcare. - E. Y. K. Ng; U. Rajendra Acharya; Jasjit S. Suri (J. Medical Syst., 2011)

The Use of Skin Surface Electropotentials for Breast Cancer Detection - Preliminary Clinical Trial Results Obtained Using the Biofield Diagnostic System. - Subbhuraam Vinitha Sree; E. Y. K. Ng; G. J. L. Kaw; U. Rajendra Acharya; B. K. Chong (J. Medical Syst., 2011)

An Efficient Automated Algorithm to Detect Ocular Surface Temperature on Sequence of Thermograms Using Snake and Target Tracing Function. - Jen Hong Tan; E. Y. K. Ng; U. Rajendra Acharya (J. Medical Syst., 2011)

The Effect of an Auxiliary Stimulation on Motor Function Restoration by FES. - Baoping Yuan; Guanghao Sun; José Gomez; Yu Ikemoto; José González; Chieko Murai; U. Rajendra Acharya; Wenwei Yu; Shuichi Ino (J. Medical Syst., 2011)

Human Cardiovascular Model and Applications. - Kuanyi Zhu; Peng Chuan Alvin Ang; U. Rajendra Acharya; Choo Min Lim (J. Medical Syst., 2011)

Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images. - Filippo Molinari; U. Rajendra Acharya; Guang Zeng; Kristen M. Meiburger; Jasjit S. Suri (Medical Biol. Eng. Comput., 2011)

Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features. - U. Rajendra Acharya; Sumeet Dua; Xian Du; Subbhuraam Vinitha Sree; Chua Kuang Chua (IEEE Trans. Inf. Technol. Biomed., 2011)

Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images. - M. Muthu Rama Krishnan; U. Rajendra Acharya; Chua Kuang Chua; Lim Choo Min; E. Y. K. Ng; Milind M. Mushrif; Augustinus Laude (BHI, 2012)

Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound. - U. Rajendra Acharya; Vinitha Sree S; Filippo Molinari; Roberto Garberoglio; Agnieszka Witkowska; Jasjit S. Suri (EMBC, 2012)

Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems. - U. Rajendra Acharya; Vinitha Sree S; Filippo Molinari; Luca Saba; Andrew Nicolaides; Shoaib Shafique; Jasjit S. Suri (EMBC, 2012)

Ovarian tumor characterization and classification: A class of GyneScan™ systems. - U. Rajendra Acharya; Vinitha Sree S; Luca Saba; Filippo Molinari; Stefano Guerriero; Jasjit S. Suri (EMBC, 2012)

Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. - U. Rajendra Acharya; Vinitha Sree S; Muthu Rama Krishnan Mookiah; Luca Saba; Filippo Molinari; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Giuseppe Ledda; Michele Anzidei; U. Rajendra Acharya; Guang Zeng; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Guang Zeng; U. Rajendra Acharya; Mario Piga; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Automated diagnosis of epileptic EEG using entropies. - U. Rajendra Acharya; Filippo Molinari; Subbhuraam Vinitha Sree; Subhagata Chattopadhyay; Kwan Hoong Ng; Jasjit S. Suri (Biomed. Signal Process. Control., 2012)

Linear and non-linear analysis of cardiac health in diabetic subjects. - Oliver Faust; U. Rajendra Acharya; Filippo Molinari; Subhagata Chattopadhyay; Toshiyo Tamura (Biomed. Signal Process. Control., 2012)

ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; Filippo Molinari; Jasjit S. Suri (Comput. Methods Programs Biomed., 2012)

Compressed sampling for heart rate monitoring. - Oliver Faust; U. Rajendra Acharya; Jianguo Ma; Lim Choo Min; Toshiyo Tamura (Comput. Methods Programs Biomed., 2012)

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; U. Rajendra Acharya; Giuseppe Ledda; Guang Zeng; Sin Yee Stella Ho; Anil T. Ahuja; Suzanne C. Ho; Andrew Nicolaides; Jasjit S. Suri (Comput. Methods Programs Biomed., 2012)

A systematic approach to embedded biomedical decision making. - Zhe Song; Zhongkai Ji; Jianguo Ma; Bernhard H. C. Sputh; U. Rajendra Acharya; Oliver Faust (Comput. Methods Programs Biomed., 2012)

Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Peng Chuan Alvin Ang; Jasjit S. Suri (Expert Syst. Appl., 2012)

Application of principal component analysis to ECG signals for automated diagnosis of cardiac health. - Roshan Joy Martis; U. Rajendra Acharya; K. M. Mandana; Ajoy Kumar Ray; Chandan Chakraborty (Expert Syst. Appl., 2012)

Application of Non-Linear and Wavelet Based Features for the Automated Identification of Epileptic EEG signals. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Peng Chuan Alvin Ang; Ratna Yanti; Jasjit S. Suri (Int. J. Neural Syst., 2012)

Automated Diagnosis of Normal and Alcoholic EEG signals. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Subhagata Chattopadhyay; Jasjit S. Suri (Int. J. Neural Syst., 2012)

Application of Empirical Mode Decomposition (EMD) for Automated Detection of epilepsy using EEG signals. - Roshan Joy Martis; U. Rajendra Acharya; Jen Hong Tan; Andrea Petznick; Ratna Yanti; Chua Kuang Chua; E. Y. K. Ng; Louis Tong (Int. J. Neural Syst., 2012)

Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound. - U. Rajendra Acharya; Oliver Faust; Peng Chuan Alvin Ang; Subbhuraam Vinitha Sree; Filippo Molinari; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (J. Medical Syst., 2012)

Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine. - U. Rajendra Acharya; E. Y. K. Ng; Jen Hong Tan; Subbhuraam Vinitha Sree (J. Medical Syst., 2012)

An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters. - U. Rajendra Acharya; E. Y. K. Ng; Jen Hong Tan; Subbhuraam Vinitha Sree; Kwan Hoong Ng (J. Medical Syst., 2012)

Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis. - U. Rajendra Acharya; Jasper Tong; Subbhuraam Vinitha Sree; Chua Kuang Chua; Peck Ha Tan; Dhanjoo N. Ghista; Subhagata Chattopadhyay; Kwan Hoong Ng; Jasjit S. Suri (J. Medical Syst., 2012)

A Novel Mathematical Approach to Diagnose Premenstrual Syndrome. - Subhagata Chattopadhyay; U. Rajendra Acharya (J. Medical Syst., 2012)

Application of Bayesian Classifier for the Diagnosis of Dental Pain. - Subhagata Chattopadhyay; Rima M. Davis; Daphne D. Menezes; Gautam Singh; U. Rajendra Acharya; Toshiyo Tamura (J. Medical Syst., 2012)

Neural Network Approaches to Grade Adult Depression. - Subhagata Chattopadhyay; Preetisha Kaur; Fethi A. Rabhi; U. Rajendra Acharya (J. Medical Syst., 2012)

An Approach to Model Right Iliac Fossa Pain Using Pain-Only-Parameters for Screening Acute Appendicitis. - Subhagata Chattopadhyay; Fethi A. Rabhi; U. Rajendra Acharya; Rohan Joshi; Rudhram Gajendran (J. Medical Syst., 2012)

Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis. - Xian Du; Sumeet Dua; U. Rajendra Acharya; Chua Kuang Chua (J. Medical Syst., 2012)

Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review. - Oliver Faust; U. Rajendra Acharya; E. Y. K. Ng; Kwan Hoong Ng; Jasjit S. Suri (J. Medical Syst., 2012)

Evaluation of the Efficiency of Biofield Diagnostic System in Breast Cancer Detection Using Clinical Study Results and Classifiers. - Subbhuraam Vinitha Sree; E. Y. K. Ng; G. J. L. Kaw; U. Rajendra Acharya; B. K. Chong (J. Medical Syst., 2012)

Computer-Assisted Diagnosis of Tuberculosis: A First Order Statistical Approach to Chest Radiograph. - Jen Hong Tan; U. Rajendra Acharya; Collin Tan; K. Thomas Abraham; Choo Min Lim (J. Medical Syst., 2012)

Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Choo Min Lim; Andrea Petznick; Jasjit S. Suri (Knowl. Based Syst., 2012)

An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; Filippo Molinari; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2012)

Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration. - Filippo Molinari; Ganapathy Krishnamurthi; U. Rajendra Acharya; Subbhuraam Vinitha Sree; Guang Zeng; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2012)

Completely Automated Multiresolution Edge Snapper - A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database. - Filippo Molinari; Constantinos S. Pattichis; Guang Zeng; Luca Saba; U. Rajendra Acharya; Roberto Sanfilippo; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Image Process., 2012)

Wavelet-Based Energy Features for Glaucomatous Image Classification. - Sumeet Dua; U. Rajendra Acharya; Pradeep Chowriappa; Subbhuraam Vinitha Sree (IEEE Trans. Inf. Technol. Biomed., 2012)

Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. - Filippo Molinari; Vipin Gupta; Poornima Prabhakaran; Kristen M. Meiburger; Luca Saba; U. Rajendra Acharya; Giuseppe Ledda; K. V. Radha Krishna; Gagandeep Kaur Walia; Sanjay Kinra; Andrew Nicolaides; Shah Ebrahim; et al. (EMBC, 2013)

Application of higher order spectra for accurate delineation of atrial arrhythmia. - Hari Prasad; Roshan Joy Martis; U. Rajendra Acharya; Lim Choo Min; Jasjit S. Suri (EMBC, 2013)

ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform. - Roshan Joy Martis; U. Rajendra Acharya; Lim Choo Min (Biomed. Signal Process. Control., 2013)

Cardiac decision making using higher order spectra. - Roshan Joy Martis; U. Rajendra Acharya; K. M. Mandana; Ajoy Kumar Ray; Chandan Chakraborty (Biomed. Signal Process. Control., 2013)

Application of higher order statistics for atrial arrhythmia classification. - Roshan Joy Martis; U. Rajendra Acharya; Hari Prasad; Chua Kuang Chua; Choo Min Lim; Jasjit S. Suri (Biomed. Signal Process. Control., 2013)

Automated identification of normal and diabetes heart rate signals using nonlinear measures. - U. Rajendra Acharya; Oliver Faust; Nahrizul Adib Kadri; Jasjit S. Suri; Wenwei Yu (Comput. Biol. Medicine, 2013)

Ensemble selection for feature-based classification of diabetic maculopathy images. - Pradeep Chowriappa; Sumeet Dua; U. Rajendra Acharya; M. Muthu Rama Krishnan (Comput. Biol. Medicine, 2013)

Computer-aided diagnosis of diabetic retinopathy: A review. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Chua Kuang Chua; Choo Min Lim; E. Y. K. Ng; Augustinus Laude (Comput. Biol. Medicine, 2013)

Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. - Luca Saba; Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2013)

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; Peng Chuan Alvin Ang; Ganapathy Krishnamurthi; José C. R. Seabra; João M. Sanches; Jasjit S. Suri (Comput. Methods Programs Biomed., 2013)

Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; M. Muthu Rama Krishnan; Krishnananda Nayak; Shetty Ranjan; Pai Umesh; Jasjit S. Suri (Comput. Methods Programs Biomed., 2013)

Pectoral muscle segmentation: A review. - Karthikeyan Ganesan; U. Rajendra Acharya; Kuang Chua Chua; Lim Choo Min; K. Thomas Abraham (Comput. Methods Programs Biomed., 2013)

Entropy analysis of muscular near-infrared spectroscopy (NIRS) signals during exercise programme of type 2 diabetic patients: Quantitative assessment of muscle metabolic pattern. - Filippo Molinari; U. Rajendra Acharya; Roshan Joy Martis; Riccardo De Luca; Giuliana Petraroli; William Liboni (Comput. Methods Programs Biomed., 2013)

An interactive lung field segmentation scheme with automated capability. - Jen Hong Tan; U. Rajendra Acharya; Choo Min Lim; K. Thomas Abraham (Digit. Signal Process., 2013)

A Case-Based Reasoning system for complex medical diagnosis. - Subhagata Chattopadhyay; Suvendu Banerjee; Fethi A. Rabhi; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2013)

Automated detection of diabetes using higher order spectral features extracted from heart rate signals. - G. Swapna; U. Rajendra Acharya; Subbhuraam Vinitha Sree; Jasjit S. Suri (Intell. Data Anal., 2013)

Automated Diagnosis of epilepsy using CWT, HOS and Texture parameters. - U. Rajendra Acharya; Ratna Yanti; Jia Wei Zheng; M. Muthu Rama Krishnan; Jen Hong Tan; Roshan Joy Martis; Choo Min Lim (Int. J. Neural Syst., 2013)

Application of Higher Order cumulant Features for Cardiac Health Diagnosis using ECG signals. - Roshan Joy Martis; U. Rajendra Acharya; Choo Min Lim; K. M. Mandana; Ajoy Kumar Ray; Chandan Chakraborty (Int. J. Neural Syst., 2013)

Application of Intrinsic Time-Scale Decomposition (ITD) to EEG signals for Automated seizure Prediction. - Roshan Joy Martis; U. Rajendra Acharya; Jen Hong Tan; Andrea Petznick; Louis Tong; Chua Kuang Chua; Eddie-Yin-Kwee Ng (Int. J. Neural Syst., 2013)

Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Luca Saba; Filippo Molinari; Stefano Guerriero; Jasjit S. Suri (J. Digit. Imaging, 2013)

Automated EEG analysis of epilepsy: A review. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; G. Swapna; Roshan Joy Martis; Jasjit S. Suri (Knowl. Based Syst., 2013)

Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform. - Donna Giri; U. Rajendra Acharya; Roshan Joy Martis; Subbhuraam Vinitha Sree; Teik-Cheng Lim; Thajudin Ahamed VI; Jasjit S. Suri (Knowl. Based Syst., 2013)

Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework. - Roshan Joy Martis; U. Rajendra Acharya; Choo Min Lim; Jasjit S. Suri (Knowl. Based Syst., 2013)

Automated detection of atrial fibrillation using Bayesian paradigm. - Roshan Joy Martis; U. Rajendra Acharya; Hari Prasad; Chua Kuang Chua; Choo Min Lim (Knowl. Based Syst., 2013)

Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Roshan Joy Martis; Chua Kuang Chua; Choo Min Lim; E. Y. K. Ng; Augustinus Laude (Knowl. Based Syst., 2013)

Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. - U. Rajendra Acharya; Muthu Rama Krishnan Mookiah; Subbhuraam Vinitha Sree; David M. Afonso; João M. Sanches; Shoaib Shafique; Andrew Nicolaides; Luís Mendes Pedro; José Fernandes e Fernandes; Jasjit S. Suri (Medical Biol. Eng. Comput., 2013)

Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation. - U. Rajendra Acharya; M. Muthu Rama Krishnan; Subbhuraam Vinitha Sree; João M. Sanches; Shoaib Shafique; Andrew Nicolaides; Luís Mendes Pedro; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2013)

Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation. - Roshan Joy Martis; U. Rajendra Acharya; Hojjat Adeli; Hari Prasad; Jen Hong Tan; Kuang Chua Chua; Chea Loon Too; Sharon Wan Jie Yeo; Louis Tong (Biomed. Signal Process. Control., 2014)

Automated classification of glaucoma stages using higher order cumulant features. - Kevin Noronha; U. Rajendra Acharya; K. Prabhakar Nayak; Roshan Joy Martis; Sulatha V. Bhandary (Biomed. Signal Process. Control., 2014)

Current methods in electrocardiogram characterization. - Roshan Joy Martis; U. Rajendra Acharya; Hojjat Adeli (Comput. Biol. Medicine, 2014)

Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Joel E. W. Koh; Vinod Chandran; Chua Kuang Chua; Jen Hong Tan; Choo Min Lim; Eddie-Yin-Kwee Ng; Kevin Noronha; Louis Tong; Augustinus Laude (Comput. Biol. Medicine, 2014)

Linear and nonlinear analysis of normal and CAD-affected heart rate signals. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; G. Swapna; Roshan Joy Martis; Nahrizul Adib Kadri; Jasjit S. Suri (Comput. Methods Programs Biomed., 2014)

Active spline model: A shape based model - interactive segmentation. - Jen Hong Tan; U. Rajendra Acharya (Digit. Signal Process., 2014)

Higher order spectra analysis of breast thermograms for the automated identification of breast cancer. - U. Rajendra Acharya; E. Y. K. Ng; Subbhuraam Vinitha Sree; Chua Kuang Chua; Subhagata Chattopadhyay (Expert Syst. J. Knowl. Eng., 2014)

Computer-aided diabetic retinopathy detection using trace transforms on digital fundus images. - Karthikeyan Ganesan; Roshan Joy Martis; U. Rajendra Acharya; Chua Kuang Chua; Lim Choo Min; E. Y. K. Ng; Augustinus Laude (Medical Biol. Eng. Comput., 2014)

Decision support system for age-related macular degeneration using discrete wavelet transform. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Joel E. W. Koh; Chua Kuang Chua; Jen Hong Tan; Vinod Chandran; Choo Min Lim; Kevin Noronha; Augustinus Laude; Louis Tong (Medical Biol. Eng. Comput., 2014)

One-Class Classification of Mammograms Using Trace Transform Functionals. - Karthikeyan Ganesan; U. Rajendra Acharya; Chua Kuang Chua; Choo Min Lim; K. Thomas Abraham (IEEE Trans. Instrum. Meas., 2014)

Understanding Foot Function During Stance Phase by Bayesian Network Based Causal Inference. - Myagmarbayar Nergui; Jun Inoue 003; Chieko Murai; Wenwei Yu; U. Rajendra Acharya (Machine Learning in Healthcare Informatics, 2014)

A Selection and Reduction Approach for the Optimization of Ultrasound Carotid Artery Images Segmentation. - Samanta Rosati; Gabriella Balestra; Filippo Molinari; U. Rajendra Acharya; Jasjit S. Suri (Machine Learning in Healthcare Informatics, 2014)

Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Dhanjoo N. Ghista; Wei Jie Eugene Lim; Joel E. W. Koh (SMC, 2015)

Preface. - Kemal Polat; Musa Hakan Asyali; Muthusamy Hariharan; U. Rajendra Acharya; Mario Köppen (Appl. Soft Comput., 2015)

Decision support system for the glaucoma using Gabor transformation. - U. Rajendra Acharya; E. Y. K. Ng; Wei Jie Eugene Lim; Kevin Noronha; Lim Choo Min; K. Prabhakar Nayak; Sulatha V. Bhandary (Biomed. Signal Process. Control., 2015)

The role of real-time in biomedical science: A meta-analysis on computational complexity, delay and speedup. - Oliver Faust; Wenwei Yu; U. Rajendra Acharya (Comput. Biol. Medicine, 2015)

Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients. - Filippo Molinari; Roshan Joy Martis; U. Rajendra Acharya; Kristen M. Meiburger; Riccardo De Luca; Giuliana Petraroli; William Liboni (Comput. Biol. Medicine, 2015)

Local configuration pattern features for age-related macular degeneration characterization and classification. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Hamido Fujita; Joel E. W. Koh; Jen Hong Tan; Kevin Noronha; Sulatha V. Bhandary; Chua Kuang Chua; Choo Min Lim; Augustinus Laude; Louis Tong (Comput. Biol. Medicine, 2015)

Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Hamido Fujita; Jen Hong Tan; Chua Kuang Chua; Sulatha V. Bhandary; Augustinus Laude; Louis Tong (Comput. Biol. Medicine, 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)

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals. - Rajeev Sharma; Ram Bilas Pachori; U. Rajendra Acharya (Entropy, 2015)

An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures. - Rajeev Sharma; Ram Bilas Pachori; U. Rajendra Acharya (Entropy, 2015)

Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals. - Ram Bilas Pachori; Pakala Avinash; Kora Shashank; Rajeev Sharma; U. Rajendra Acharya (Expert Syst. Appl., 2015)

Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm. - U. Rajendra Acharya; Oliver Faust; Filippo Molinari; Subbhuraam Vinitha Sree; Sameer P. Junnarkar; K. Vidya Sudarshan (Knowl. Based Syst., 2015)

Application of entropies for automated diagnosis of epilepsy using EEG signals: A review. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Shreya Bhat; Joel E. W. Koh (Knowl. Based Syst., 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)

Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method. - U. Rajendra Acharya; K. Sudarshan Vidya; Dhanjoo N. Ghista; Wei Jie Eugene Lim; Filippo Molinari; Meena Sankaranarayanan (Knowl. Based Syst., 2015)

Automated detection of age-related macular degeneration using empirical mode decomposition. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Hamido Fujita; Joel E. W. Koh; Jen Hong Tan; Chua Kuang Chua; Sulatha V. Bhandary; Kevin Noronha; Augustinus Laude; Louis Tong (Knowl. Based Syst., 2015)

Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals. - Shivnarayan Patidar; Ram Bilas Pachori; U. Rajendra Acharya (Knowl. Based Syst., 2015)

Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier. - Sulaimon Ibrahim; Pradeep Chowriappa; Sumeet Dua; U. Rajendra Acharya; Kevin Noronha; Sulatha V. Bhandary; Hatwib Mugasa (Medical Biol. Eng. Comput., 2015)

Application of higher-order spectra for automated grading of diabetic maculopathy. - Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Vinod Chandran; Roshan Joy Martis; Jen Hong Tan; Joel E. W. Koh; Chua Kuang Chua; Louis Tong; Augustinus Laude (Medical Biol. Eng. Comput., 2015)

Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats. - U. Rajendra Acharya; Hamido Fujita; Muhammad Adam; Shu Lih Oh; Jen Hong Tan; K. Vidya Sudarshan; Joel E. W. Koh (SMC, 2016)

Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals. - Chaitra Sridhar; U. Rajendra Acharya; Hamido Fujita; Giliyar Muralidhar Bairy (SMC, 2016)

Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index. - Hamido Fujita; U. Rajendra Acharya; K. Vidya Sudarshan; Dhanjoo N. Ghista; Subbhuraam Vinitha Sree; Wei Jie Eugene Lim; Joel E. W. Koh (Appl. Soft Comput., 2016)

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images. - U. Raghavendra; U. Rajendra Acharya; Hamido Fujita; Anjan Gudigar; Jen Hong Tan; Shreesha Chokkadi (Appl. Soft Comput., 2016)

Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index. - U. Rajendra Acharya; Muthu Rama Krishnan Mookiah; Joel E. W. Koh; Jen Hong Tan; Sulatha V. Bhandary; A. Krishna Rao; Hamido Fujita; Yuki Hagiwara; Chua Kuang Chua; Augustinus Laude (Comput. Biol. Medicine, 2016)

Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features. - U. Rajendra Acharya; Muthu Rama Krishnan Mookiah; Joel E. W. Koh; Jen Hong Tan; Kevin Noronha; Sulatha V. Bhandary; A. Krishna Rao; Yuki Hagiwara; Chua Kuang Chua; Augustinus Laude (Comput. Biol. Medicine, 2016)

Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images. - U. Rajendra Acharya; U. Raghavendra; Hamido Fujita; Yuki Hagiwara; Joel E. W. Koh; Jen Hong Tan; K. Vidya Sudarshan; Anushya Vijayananthan; Chai Hong Yeong; Anjan Gudigar; Kwan Hoong Ng (Comput. Biol. Medicine, 2016)

Observer performance in characterization of carotid plaque texture and surface characteristics with 3D versus 2D ultrasound. - Sook Sam Leong; Anushya Vijayananthan; Nur Adura Yaakup; Nazri Shah; Kwan Hoong Ng; U. Rajendra Acharya; Mehmet Bilgen (Comput. Biol. Medicine, 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)

Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review. - K. Vidya Sudarshan; Muthu Rama Krishnan Mookiah; U. Rajendra Acharya; Vinod Chandran; Filippo Molinari; Hamido Fujita; Kwan Hoong Ng (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)

An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals. - Mohit Kumar 009; Ram Bilas Pachori; U. Rajendra Acharya (Expert Syst. Appl., 2016)

Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images. - U. Rajendra Acharya; Hamido Fujita; Shreya Bhat; U. Raghavendra; Anjan Gudigar; Filippo Molinari; Anushya Vijayananthan; Kwan Hoong Ng (Inf. Fusion, 2016)

An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Muthu Rama Krishnan Mookiah; Joel E. W. Koh; Jen Hong Tan; Yuki Hagiwara; Chua Kuang Chua; Sameer P. Junnarkar; Anushya Vijayananthan; Kwan Hoong Ng (Inf. Fusion, 2016)

Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images. - U. Rajendra Acharya; Pradeep Chowriappa; Hamido Fujita; Shreya Bhat; Sumeet Dua; Joel E. W. Koh; Wei Jie Eugene Lim; Pailin Kongmebhol; Kwan Hoong Ng (Knowl. Based Syst., 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)

Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal. - Hamido Fujita; K. Vidya Sudarshan; Muhammad Adam; Shu Lih Oh; Jen Hong Tan; Yuki Hagiwara; Kuang Chua Chua; Chua Kok Poo; U. Rajendra Acharya (IEA/AIE (1), 2017)

Automated Characterization of Breast Cancer Using Steerable Filters. - Hamido Fujita; U. Raghavendra; Anjan Gudigar; Vinoy Vishnu Vadakkepat; U. Rajendra Acharya (SoMeT, 2017)

An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism. - Shivnarayan Patidar; Ram Bilas Pachori; Abhay Upadhyay; U. Rajendra Acharya (Appl. Soft Comput., 2017)

Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm. - U. Rajendra Acharya; Wei Lin Ng; Kartini Rahmat; K. Vidya Sudarshan; Joel E. W. Koh; Jen Hong Tan; Yuki Hagiwara; Chai Hong Yeong; Kwan Hoong Ng (Biomed. Signal Process. Control., 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)

Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals. - Mohit Kumar 009; Ram Bilas Pachori; U. Rajendra Acharya (Biomed. Signal Process. Control., 2017)

A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images. - U. Rajendra Acharya; Shreya Bhat; Joel E. W. Koh; Sulatha V. Bhandary; Hojjat Adeli (Comput. Biol. Medicine, 2017)

Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index. - U. Rajendra Acharya; Muthu Rama Krishnan Mookiah; Joel E. W. Koh; Jen Hong Tan; Sulatha V. Bhandary; A. Krishna Rao; Yuki Hagiwara; Chua Kuang Chua; Augustinus Laude (Comput. Biol. Medicine, 2017)

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques. - U. Rajendra Acharya; Wei Lin Ng; Kartini Rahmat; K. Vidya Sudarshan; Joel E. W. Koh; Jen Hong Tan; Yuki Hagiwara; Arkadiusz Gertych; Farhana Fadzli; Chai Hong Yeong; Kwan Hoong Ng (Comput. Biol. Medicine, 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 detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals. - U. Rajendra Acharya; K. Vidya Sudarshan; Soon Qing Rong; Zechariah Tan; Choo Min Lim; Joel E. W. Koh; Sujatha Nayak; Sulatha V. Bhandary (Comput. Biol. Medicine, 2017)

Computer aided diagnosis of diabetic foot using infrared thermography: A review. - Muhammad Adam; Kwan Hoong Ng; Jen Hong Tan; Marabelle L. Heng; Jasper Tong; U. Rajendra Acharya (Comput. Biol. Medicine, 2017)

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies. - Joel E. W. Koh; U. Rajendra Acharya; Yuki Hagiwara; U. Raghavendra; Jen Hong Tan; Subbhuraam Vinitha Sree; Sulatha V. Bhandary; A. Krishna Rao; Sobha Sivaprasad; Kuang Chua Chua; Augustinus Laude; Louis Tong (Comput. Biol. Medicine, 2017)

Iterative variational mode decomposition based automated detection of glaucoma using fundus images. - Shishir Maheshwari; Ram Bilas Pachori; Vivek Kanhangad; Sulatha V. Bhandary; U. Rajendra Acharya (Comput. Biol. Medicine, 2017)

Diagnosis of attention deficit hyperactivity disorder using imaging and signal processing techniques. - Chaitra Sridhar; Shreya Bhat; U. Rajendra Acharya; Hojjat Adeli; Giliyar Muralidhar Bairy (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)

Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis. - Abhijit Bhattacharyya; Ram Bilas Pachori; U. Rajendra Acharya (Entropy, 2017)

Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals. - Mohit Kumar 009; Ram Bilas Pachori; U. Rajendra Acharya (Entropy, 2017)

Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework. - Mohit Kumar 009; Ram Bilas Pachori; U. Rajendra Acharya (Entropy, 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)

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Muhammad Adam (Inf. Sci., 2017)

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Muhammad Adam (Inf. Sci., 2017)

Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network. - Jen Hong Tan; Hamido Fujita; Sobha Sivaprasad; Sulatha V. Bhandary; A. Krishna Rao; Kuang Chua Chua; U. Rajendra Acharya (Inf. Sci., 2017)

Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features. - U. Rajendra Acharya; Yuki Hagiwara; Joel E. W. Koh; Jen Hong Tan; Sulatha V. Bhandary; A. Krishna Rao; U. Raghavendra (J. Comput. Sci., 2017)

Decision support system for focal EEG signals using tunable-Q wavelet transform. - Rajeev Sharma; Mohit Kumar 009; Ram Bilas Pachori; U. Rajendra Acharya (J. Comput. Sci., 2017)

Segmentation of prostate contours for automated diagnosis using ultrasound images: A survey. - Raman Preet Singh; Savita Gupta; U. Rajendra Acharya (J. Comput. Sci., 2017)

Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network. - Jen Hong Tan; U. Rajendra Acharya; Sulatha V. Bhandary; Kuang Chua Chua; Sobha Sivaprasad (J. Comput. Sci., 2017)

Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; Muhammad Adam; Jen Hong Tan; Chua Kuang Chua (Knowl. Based Syst., 2017)

Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal. - U. Rajendra Acharya; Hamido Fujita; K. Vidya Sudarshan; Shu Lih Oh; Muhammad Adam; Jen Hong Tan; Jie Hui Koo; Arihant Jain; Choo Min Lim; Kuang Chua Chua (Knowl. Based Syst., 2017)

An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks. - Manish Sharma 001; Abhinav Dhere; Ram Bilas Pachori; U. Rajendra Acharya (Knowl. Based Syst., 2017)

Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients. - Filippo Molinari; Daniele Rimini; William Liboni; U. Rajendra Acharya; Marianno Franzini; Sergio Pandolfi; Giovanni Ricevuti; Francesco Vaiano; Luigi Valdenassi; Vincenzo Simonetti (Medical Biol. Eng. Comput., 2017)

Multiple thresholding and subspace based approach for detection and recognition of traffic sign. - Anjan Gudigar; Shreesha Chokkadi; U. Raghavendra; U. Rajendra Acharya (Multim. Tools Appl., 2017)

Guest editorial: New trends in data pre-processing methods for signal and image classification. - Kemal Polat; Muthusamy Hariharan; U. Rajendra Acharya; Yanhui Guo 001 (Neural Comput. Appl., 2017)

Local texture patterns for traffic sign recognition using higher order spectra. - Anjan Gudigar; Shreesha Chokkadi; U. Raghavendra; U. Rajendra Acharya (Pattern Recognit. Lett., 2017)

Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform. - Vipin Gupta; Tanvi Priya; Abhishek Kumar Yadav; Ram Bilas Pachori; U. Rajendra Acharya (Pattern Recognit. Lett., 2017)

A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension. - Manish Sharma 001; Ram Bilas Pachori; U. Rajendra Acharya (Pattern Recognit. Lett., 2017)

Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images. - Shishir Maheshwari; Ram Bilas Pachori; U. Rajendra Acharya (IEEE J. Biomed. Health Informatics, 2017)

Automated Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images. - U. Raghavendra; Anjan Gudigar; Tejaswi N. Rao; Hamido Fujita; U. Rajendra Acharya (SoMeT, 2018)

Automated detection of retinal health using PHOG and SURF features extracted from fundus images. - Joel E. W. Koh; Eddie-Yin-Kwee Ng; Sulatha V. Bhandary; Augustinus Laude; U. Rajendra Acharya (Appl. Intell., 2018)

A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals. - Manish Sharma 001; Dipankar Deb; U. Rajendra Acharya (Appl. Intell., 2018)

Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images. - U. Raghavendra; Hamido Fujita; Anjan Gudigar; Shetty Ranjan; Krishnananda Nayak; Pai Umesh; Jyothi Samanth; U. Rajendra Acharya (Biomed. Signal Process. Control., 2018)

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features. - U. Rajendra Acharya; Joel E. W. Koh; Yuki Hagiwara; Jen Hong Tan; Arkadiusz Gertych; Anushya Vijayananthan; Nur Adura Yaakup; Basri Johan Jeet Abdullah; Mohd Kamil Bin Mohd Fabell; Chai Hong Yeong (Comput. Biol. Medicine, 2018)

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. - U. Rajendra Acharya; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Hojjat Adeli (Comput. Biol. Medicine, 2018)

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis. - Shreya Bhat; U. Rajendra Acharya; Yuki Hagiwara; Nahid Dadmehr; Hojjat Adeli (Comput. Biol. Medicine, 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 retinal health diagnosis using pyramid histogram of visual words and Fisher vector techniques. - Joel E. W. Koh; Eddie-Yin-Kwee Ng; Sulatha V. Bhandary; Yuki Hagiwara; Augustinus Laude; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Automated localization and segmentation techniques for B-mode ultrasound images: A review. - Kristen M. Meiburger; U. Rajendra Acharya; Filippo Molinari (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)

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. - U. Raghavendra; Anjan Gudigar; M. Maithri; Arkadiusz Gertych; Kristen M. Meiburger; Chai Hong Yeong; Chakri Madla; Pailin Kongmebhol; Filippo Molinari; Kwan Hoong Ng; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals. - Manish Sharma 001; Shreyansh Agarwal; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank. - Manish Sharma 001; Deepanshu Goyal; Achuth P. V.; 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)

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. - Asit Kumar Subudhi; U. Rajendra Acharya; Manasa Dash; Subhransu Jena; Sukanta Sabut (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)

Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank. - Manish Sharma 001; U. Rajendra Acharya (Comput. Electr. Eng., 2018)

Automated EEG-based screening of depression using deep convolutional neural network. - U. Rajendra Acharya; Shu Lih Oh; Yuki Hagiwara; Jen Hong Tan; Hojjat Adeli; Subha D. Puthankattil (Comput. Methods Programs Biomed., 2018)

Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features. - U. Rajendra Acharya; U. Raghavendra; Joel E. W. Koh; Kristen M. Meiburger; Edward J. Ciaccio; Yuki Hagiwara; Filippo Molinari; Wai Ling Leong; Anushya Vijayananthan; Nur Adura Yaakup; Mohd Kamil Bin Mohd Fabell; Chai Hong Yeong (Comput. Methods Programs Biomed., 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)

Deep learning for healthcare applications based on physiological signals: A review. - Oliver Faust; Yuki Hagiwara; Jen Hong Tan; Shu Lih Oh; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2018)

Computer-aided diagnosis of glaucoma using fundus images: A review. - Yuki Hagiwara; Joel E. W. Koh; Jen Hong Tan; Sulatha V. Bhandary; Augustinus Laude; Edward J. Ciaccio; Louis Tong; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2018)

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals. - Manish Sharma 001; Achuth P. V.; Dipankar Deb; Subha D. Puthankattil; U. Rajendra Acharya (Cogn. Syst. Res., 2018)

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

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. - U. Rajendra Acharya; Hamido Fujita; Shu Lih Oh; U. Raghavendra; Jen Hong Tan; Muhammad Adam; Arkadiusz Gertych; Yuki Hagiwara (Future Gener. Comput. Syst., 2018)

Automated system for the detection of thoracolumbar fractures using a CNN architecture. - U. Raghavendra; N. Shyamasunder Bhat; Anjan Gudigar; U. Rajendra Acharya (Future Gener. Comput. Syst., 2018)

Age-related Macular Degeneration detection using deep convolutional neural network. - Jen Hong Tan; Sulatha V. Bhandary; Sobha Sivaprasad; Yuki Hagiwara; Akanksha Bagchi; U. Raghavendra; A. Krishna Rao; Biju Raju; Nitin Shridhara Shetty; Arkadiusz Gertych; Kuang Chua Chua; U. Rajendra Acharya (Future Gener. Comput. Syst., 2018)

Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework. - U. Rajendra Acharya; Ayesha Akter; Pradeep Chowriappa; Sumeet Dua; U. Raghavendra; Joel E. W. Koh; Jen Hong Tan; Sook Sam Leong; Anushya Vijayananthan; Yuki Hagiwara; Marlina Tanty Ramli; Kwan Hoong Ng (Int. J. Fuzzy Syst., 2018)

Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification. - Manish Sharma 001; Pragya Sharma; Ram Bilas Pachori; U. Rajendra Acharya (Int. J. Fuzzy Syst., 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)

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images. - U. Raghavendra; Hamido Fujita; Sulatha V. Bhandary; Anjan Gudigar; Jen Hong Tan; U. Rajendra Acharya (Inf. Sci., 2018)

MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection. - Manish Sharma 001; Ankit A. Bhurane; U. Rajendra Acharya (Knowl. Based Syst., 2018)

An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. - Filippo Molinari; U. Raghavendra; Anjan Gudigar; Kristen M. Meiburger; U. Rajendra Acharya (Medical Biol. Eng. Comput., 2018)

A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals. - Yuvaraj Rajamanickam; U. Rajendra Acharya; Yuki Hagiwara (Neural Comput. Appl., 2018)

Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. - Krzysztof Rzecki; Tomasz Sosnicki; Mateusz Baran; Michal Niedzwiecki; Malgorzata Król; Tomasz Lojewski; U. Rajendra Acharya; Özal Yildirim; Pawel Plawiak (Sensors, 2018)

ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention. - Sajad Mousavi; Fatemeh Afghah; Abolfazl Razi; U. Rajendra Acharya (BHI, 2019)

NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. - Moloud Abdar; U. Rajendra Acharya; Nizal Sarrafzadegan; Vladimir Makarenkov (IEEE Access, 2019)

A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. - U. Rajendra Acharya; Kristen M. Meiburger; Joel E. W. Koh; Edward J. Ciaccio; Arunkumar N.; Mee Hoong See; Nur Aishah Mohd Taib; Anushya Vijayananthan; Kartini Rahmat; Farhana Fadzli; Sook Sam Leong; Caroline Judy Westerhout; et al. (IEEE Access, 2019)

Practical Automated Video Analytics for Crowd Monitoring and Counting. - Kang Hao Cheong; Sandra Poeschmann; Joel Weijia Lai; Jin Ming Koh; U. Rajendra Acharya; Simon Ching Man Yu; Kenneth Jian Wei Tang (IEEE Access, 2019)

A Novel Methodology to Improve Cooling Efficiency at Data Centers. - Kang Hao Cheong; Kenneth Jian Wei Tang; Jin Ming Koh; Simon Ching Man Yu; U. Rajendra Acharya; Nenggang Xie (IEEE Access, 2019)

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. - Anjan Gudigar; U. Raghavendra; Edward J. Ciaccio; Arunkumar N.; Enas W. Abdulhay; U. Rajendra Acharya (IEEE Access, 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 plaque classification using computed tomography angiography and Gabor transformations. - U. Rajendra Acharya; Kristen M. Meiburger; Joel E. W. Koh; Jahmunah Vicnesh; Edward J. Ciaccio; Shu Lih Oh; Sock Keow Tan; Raja Rizal Azman Raja Aman; Filippo Molinari; Kwan Hoong Ng (Artif. Intell. Medicine, 2019)

Automated detection of schizophrenia using nonlinear signal processing methods. - V. Jahmunah 001; Shu Lih Oh; V. Rajinikanth; Edward J. Ciaccio; Kang Hao Cheong; Arunkumar N.; U. Rajendra Acharya (Artif. Intell. Medicine, 2019)

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. - Pawel Plawiak; Moloud Abdar; U. Rajendra Acharya (Appl. Soft Comput., 2019)

Machine learning-based coronary artery disease diagnosis: A comprehensive review. - Roohallah Alizadehsani; Moloud Abdar; Mohamad Roshanzamir; Abbas Khosravi; Parham M. Kebria; Fahime Khozeimeh; Saeid Nahavandi; Nizal Sarrafzadegan; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Automated detection of glaucoma using optical coherence tomography angiogram images. - Yam Meng Chan; E. Y. K. Ng; V. Jahmunah 001; Joel Koh En Wei; Shu Lih Oh; Leonard Yip Wei Leon; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques. - Shishir Maheshwari; Vivek Kanhangad; Ram Bilas Pachori; Sulatha V. Bhandary; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. - Nicola Michielli; U. Rajendra Acharya; Filippo Molinari (Comput. Biol. Medicine, 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)

Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features. - Jose Kunnel Paul; Thomas Iype; Dileep R; Yuki Hagiwara; Joel E. W. Koh; 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)

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals. - ChS. S. S. Viswabhargav; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. - Özal Yildirim; Muhammed Talo; Betül Ay Karakus; Ulas Baran Baloglu; Galip Aydin; U. Rajendra Acharya (Comput. Biol. Medicine, 2019)

Accurate tunable-Q wavelet transform based method for QRS complex detection. - Ashish Sharma 007; Shivnarayan Patidar; Abhay Upadhyay; U. Rajendra Acharya (Comput. Electr. Eng., 2019)

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; U. Rajendra Acharya (Comput. Medical Imaging Graph., 2019)

Convolutional neural networks for multi-class brain disease detection using MRI images. - Muhammed Talo; Özal Yildirim; Ulas Baran Baloglu; Galip Aydin; U. Rajendra Acharya (Comput. Medical Imaging Graph., 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)

Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation. - Edward J. Ciaccio; Elaine Y. Wan; Deepak S. Saluja; U. Rajendra Acharya; Nicholas S. Peters; Hasan Garan (Comput. Methods Programs Biomed., 2019)

A review of automated sleep stage scoring based on physiological signals for the new millennia. - Oliver Faust; Hajar Razaghi; Ragab Barika; Edward J. Ciaccio; U. Rajendra Acharya (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)

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. - U. Rajendra Acharya; Kristen M. Meiburger; Oliver Faust; Joel E. W. Koh; Shu Lih Oh; Edward J. Ciaccio; Asit Kumar Subudhi; V. Jahmunah 001; Sukanta Sabut (Cogn. Syst. Res., 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)

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. - Amita Das; U. Rajendra Acharya; Soumya S. Panda; Sukanta Sabut (Cogn. Syst. Res., 2019)

A novel machine learning approach for early detection of hepatocellular carcinoma patients. - Wojciech Ksiazek; Moloud Abdar; U. Rajendra Acharya; Pawel Plawiak (Cogn. Syst. Res., 2019)

Application of deep transfer learning for automated brain abnormality classification using MR images. - Muhammed Talo; Ulas Baran Baloglu; Özal Yildirim; U. Rajendra Acharya (Cogn. Syst. Res., 2019)

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. - Sajad Mousavi; Fatemeh Afghah; U. Rajendra Acharya (CoRR, 2019)

Characterization of focal EEG signals: A review. - U. Rajendra Acharya; Yuki Hagiwara; Sunny Nitin Deshpande; S. Suren; Joel E. W. Koh; Shu Lih Oh; Arunkumar N.; Edward J. Ciaccio; Choo Min Lim (Future Gener. Comput. Syst., 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)

Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images. - Joel E. W. Koh; Yuki Hagiwara; Shu Lih Oh; Jen Hong Tan; Edward J. Ciaccio; Peter H. R. Green; Suzanne K. Lewis; U. Rajendra Acharya (Future Gener. Comput. Syst., 2019)

Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals. - Anurag Nishad; Abhay Upadhyay; Ram Bilas Pachori; U. Rajendra Acharya (Future Gener. Comput. Syst., 2019)

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. - Moloud Abdar; Vivi Nur Wijayaningrum; Sadiq Hussain; Roohallah Alizadehsani; Pawel Plawiak; U. Rajendra Acharya; Vladimir Makarenkov (J. Medical Syst., 2019)

Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. - U. Rajendra Acharya; Steven Lawrence Fernandes; Joel Koh En Wei; Edward J. Ciaccio; Mohd Kamil Bin Mohd Fabell; Urcun John Tanik; V. Rajinikanth; Chai Hong Yeong (J. Medical Syst., 2019)

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. - Betül Ay Karakus; Özal Yildirim; Muhammed Talo; Ulas Baran Baloglu; Galip Aydin; Subha D. Puthankattil; U. Rajendra Acharya (J. Medical Syst., 2019)

A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images. - U. Raghavendra; Anjan Gudigar; Sulatha V. Bhandary; Tejaswi N. Rao; Edward J. Ciaccio; U. Rajendra Acharya (J. Medical Syst., 2019)

Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors. - Jahmunah Vicnesh; Joel Koh En Wei; Edward J. Ciaccio; Shu Lih Oh; Govind Bhagat; Suzanne K. Lewis; Peter H. R. Green; U. Rajendra Acharya (J. Medical Syst., 2019)

Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals. - Türker Tuncer; Sengül Dogan; Pawel Plawiak; U. Rajendra Acharya (Knowl. Based Syst., 2019)

An efficient traffic sign recognition based on graph embedding features. - Anjan Gudigar; Shreesha Chokkadi; U. Raghavendra; U. Rajendra Acharya (Neural Comput. Appl., 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)

A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank. - Manish Sharma 001; 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)

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. - Ali Abbasian Ardakani; Alireza Rajabzadeh Kanafi; U. Rajendra Acharya; Nazanin Khadem; Afshin Mohammadi (Comput. Biol. Medicine, 2020)

Automated phase classification in cyclic alternating patterns in sleep stages using Wigner-Ville Distribution based features. - Shivani Dhok; Varad Pimpalkhute; Ambarish Chandurkar; Ankit A. Bhurane; Manish Sharma 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. - Samit Kumar Ghosh; R. N. Ponnalagu; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Profiling of pornography addiction among children using EEG signals: A systematic literature review. - Xiaoxi Kang; Dini Oktarina Dwi Handayani; Pei Pei Chong; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated prediction of sepsis using temporal convolutional network. - Christopher Kok 001; V. Jahmunah 001; Shu Lih Oh; Xujuan Zhou; Raj Gururajan; Xiaohui Tao 001; Kang Hao Cheong; Rashmi Gururajan; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks. - Sajad Mousavi; Fatemeh Afghah; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review. - Fatma Murat; Özal Yildirim; Muhammed Talo; Ulas Baran Baloglu; Yakup Demir; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Automated detection of COVID-19 cases using deep neural networks with X-ray images. - Tulin Ozturk; Muhammed Talo; Eylul Azra Yildirim; Ulas Baran Baloglu; Özal Yildirim; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. - Rohan Panda; Sahil Jain; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. 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)

Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis. - R. K. Tripathy 001; Pranjali Gajbhiye; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

A novel hybrid approach for automated detection of retinal detachment using ultrasound images. - Joel Koh En Wei; U. Raghavendra; Anjan Gudigar; Ooi Chui Ping; Filippo Molinari; Samarth Mishra; Sinnakaruppan Mathavan; Rajiv Raman 002; 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)

Development of an automated system for the detection of genotype in polypoidal choroidal vasculopathy using retinal image phenotype. - Lakshmi Priyankka Alagappan; Joel Koh En Wei; V. Jahmunah 001; Adhithi Ramesh; Muna Bhende; Rajiv Raman 002; U. Rajendra Acharya; Sinnakaruppan Mathavan (Comput. Methods Programs Biomed., 2020)

Brain pathology identification using computer aided diagnostic tool: A systematic review. - Anjan Gudigar; U. Raghavendra; Ajay Hegde; M. Kalyani; Edward J. Ciaccio; U. Rajendra Acharya (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)

An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device. - Subbhuraam Vinitha Sree; Rob Royea; Kevin J. Buckman; Matt Benardis; Jim Holmes; Ronald L. Fletcher; E. Y. K. Ng; U. Rajendra Acharya; Joshua D. I. Ellenhorn (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)

Epileptic seizure detection using deep learning techniques: A Review. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Mahboobeh Jafari; Sadiq Hussain; Roohallah Alizadehsani; Parisa Moridian; Abbas Khosravi; Hossein Hosseini-Nejad; Modjtaba Rouhani; Assef Zare; Ali Khadem; et al. (CoRR, 2020)

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. - Marjane Khodatars; Afshin Shoeibi; Navid Ghassemi; Mahboobeh Jafari; Ali Khadem; Delaram Sadeghi; Parisa Moridian; Sadiq Hussain; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2020)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. - Afshin Shoeibi; Marjane Khodatars; Roohallah Alizadehsani; Navid Ghassemi; Mahboobeh Jafari; Parisa Moridian; Ali Khadem; Delaram Sadeghi; Sadiq Hussain; Assef Zare; Zahra Alizadeh Sani; Javad Bazeli; et al. (CoRR, 2020)

Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. - Rajesh Kumar Tripathy; Samit Kumar Ghosh; Pranjali Gajbhiye; U. Rajendra Acharya (Entropy, 2020)

Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. - U. Rajendra Acharya; Kristen M. Meiburger; Joel E. W. Koh; Edward J. Ciaccio; Jahmunah Vicnesh; Sock Keow Tan; Jeannie Hsiu Ding Wong; Raja Rizal Azman Raja Aman; Kwan Hoong Ng (Int. J. Imaging Syst. Technol., 2020)

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. - Pawel Plawiak; Moloud Abdar; Joanna Plawiak; Vladimir Makarenkov; U. Rajendra Acharya (Inf. Sci., 2020)

A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. - Mohammad Ehsan Basiri; Moloud Abdar; Mehmet Akif Cifci; Shahla Nemati; U. Rajendra Acharya (Knowl. Based Syst., 2020)

A deep learning approach for Parkinson's disease diagnosis from EEG signals. - Shu Lih Oh; Yuki Hagiwara; U. Raghavendra; Yuvaraj Rajamanickam; Arunkumar N.; M. Murugappan; U. Rajendra Acharya (Neural Comput. Appl., 2020)

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

A deep convolutional neural network model for automated identification of abnormal EEG signals. - Özal Yildirim; Ulas Baran Baloglu; U. Rajendra Acharya (Neural Comput. Appl., 2020)

Diagnosis of carpal tunnel syndrome: A comparative study of shear wave elastography, morphometry and artificial intelligence techniques. - Ali Abbasian Ardakani; Ahmadreza Afshar; Shweta Bhatt; Nathalie J. Bureau; Aylin Tahmasebi; U. Rajendra Acharya; Afshin Mohammadi (Pattern Recognit. Lett., 2020)

Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images. - Yusuf Çelik; Muhammed Talo; Özal Yildirim; Murat Karabatak; U. Rajendra Acharya (Pattern Recognit. Lett., 2020)

Validating the robustness of an internet of things based atrial fibrillation detection system. - Oliver Faust; Murtadha Kareem; Alex Shenfield; Ali Ali; U. Rajendra Acharya (Pattern Recognit. Lett., 2020)

An adaptive feature extraction model for classification of thyroid lesions in ultrasound images. - Hatwib Mugasa; Sumeet Dua; Joel E. W. Koh; Yuki Hagiwara; Shu Lih Oh; Chakri Madla; Pailin Kongmebhol; Kwan Hoong Ng; U. Rajendra Acharya (Pattern Recognit. Lett., 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)

Automated detection of abnormal EEG signals using localized wavelet filter banks. - Manish Sharma 001; Sohamkumar Patel; U. Rajendra Acharya (Pattern Recognit. Lett., 2020)

Automated detection of Alzheimer's disease using bi-directional empirical model decomposition. - Joel Koh En Wei; Jahmunah Vicnesh; The-Hanh Pham; Shu Lih Oh; Edward J. Ciaccio; U. Rajendra Acharya; Chai Hong Yeong; Mohd Kamil Bin Mohd Fabell; Kartini Rahmat; Anushya Vijayananthan; Norlisah Ramli (Pattern Recognit. Lett., 2020)

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. - Catalin Stoean; Ruxandra Stoean; Miguel A. Atencia Ruiz; Moloud Abdar; Luís Velázquez Pérez; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya; Gonzalo Joya (Sensors, 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 major depressive disorder detection using melamine pattern with EEG signals. - Emrah Aydemir; Türker Tuncer; Sengül Dogan; Raj Gururajan; U. Rajendra Acharya (Appl. Intell., 2021)

Application of substitution box of present cipher for automated detection of snoring sounds. - Sengül Dogan; Erhan Akbal; Türker Tuncer; U. Rajendra Acharya (Artif. Intell. Medicine, 2021)

A hybrid deep learning approach for gland segmentation in prostate histopathological images. - Massimo Salvi; Martino Bosco; Luca Molinaro; Alessandro Gambella; Mauro Papotti; U. Rajendra Acharya; Filippo Molinari (Artif. Intell. Medicine, 2021)

Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals. - Mehmet Baygin; Orhan Yaman; Türker Tuncer; Sengül Dogan; Prabal Datta Barua; U. Rajendra Acharya (Biomed. Signal Process. Control., 2021)

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images. - Yam Meng Chan; E. Y. K. Ng; V. Jahmunah 001; Joel E. W. Koh; Shu Lih Oh; Wei Shan Han; Leonard W. L. Yip; U. Rajendra Acharya (Biomed. Signal Process. Control., 2021)

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)

A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke. - Murtadha Kareem; Ningrong Lei; Ali Ali; Edward J. Ciaccio; U. Rajendra Acharya; Oliver Faust (Biomed. Signal Process. Control., 2021)

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images. - Deepak Ranjan Nayak; Dibyasundar Das; Banshidhar Majhi; Sulatha V. Bhandary; U. Rajendra Acharya (Biomed. Signal Process. Control., 2021)

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. - Danial Sharifrazi; Roohallah Alizadehsani; Mohamad Roshanzamir; Javad Hassannataj Joloudari; Afshin Shoeibi; Mahboobeh Jafari; Sadiq Hussain; Zahra Alizadeh Sani; Fereshteh Hasanzadeh; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (Biomed. Signal Process. Control., 2021)

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. - Moloud Abdar; Maryam Samami; Sajjad Dehghani Mahmoodabad; Thang Doan; Bogdan Mazoure; Reza Hashemifesharaki; Li Liu 002; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Comput. Biol. Medicine, 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)

Novel automated PD detection system using aspirin pattern with EEG signals. - Prabal Datta Barua; Sengül Dogan; Türker Tuncer; Mehmet Baygin; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. - Mehmet Baygin; Sengül Dogan; Türker Tuncer; Prabal Datta Barua; Oliver Faust; Arunkumar N.; Enas W. Abdulhay; Elizabeth Emma Palmer; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition. - Abdullah Dogan; Merve Akay; Prabal Datta Barua; Mehmet Baygin; Sengül Dogan; Türker Tuncer; Ali Hikmet Dogru; U. Rajendra Acharya (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)

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. - Marjane Khodatars; Afshin Shoeibi; Delaram Sadeghi; Navid Ghaasemi; Mahboobeh Jafari; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Assef Zare; Yinan Kong; Abbas Khosravi; Saeid Nahavandi; et al. (Comput. Biol. Medicine, 2021)

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. - Daksh Maheshwari; Samit Kumar Ghosh; R. K. Tripathy 001; Manish Sharma 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images. - Sameena Pathan; P. C. Siddalingaswamy; Preetham Kumar; Manohara Pai M. M.; Tanweer Ali; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. - Tejas Radhakrishnan; Jay Karhade; Samit Kumar Ghosh; Priya Ranjan Muduli; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. - Massimo Salvi; U. Rajendra Acharya; Filippo Molinari; Kristen M. Meiburger (Comput. Biol. Medicine, 2021)

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals. - Manish Sharma 001; Harsh S. Dhiman; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. - Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Parisa Moridian; Mitra Rezaei; Roohallah Alizadehsani; Fahime Khozeimeh; Juan Manuel Górriz; Jónathan Heras; Maryam Panahiazar; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

Deep learning model for automated kidney stone detection using coronal CT images. - Kadir Yildirim; Pinar Gundogan Bozdag; Muhammed Talo; Özal Yildirim; Murat Karabatak; U. Rajendra Acharya (Comput. Biol. Medicine, 2021)

ECG Language processing (ELP): A new technique to analyze ECG signals. - Sajad Mousavi; Fatemeh Afghah; Fatemeh Khadem; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2021)

Corrigendum to 'An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device'[Computer Methods and Programs in Biomedicine 197: 105758]. - Subbhuraam Vinitha Sree; Rob Royea; Kevin J. Buckman; Matt Benardis; Jim Holmes; Ronald L. Fletcher; Eyk Ng; U. Rajendra Acharya; Joshua D. I. Ellenhorn (Comput. Methods Programs Biomed., 2021)

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals. - Hui Tian Tor; Ooi Chui Ping; Nikki S. J. Lim-Ashworth; Joel Koh En Wei; V. Jahmunah 001; Shu Lih Oh; U. Rajendra Acharya; Daniel Shuen Sheng Fung (Comput. Methods Programs Biomed., 2021)

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach. - Joel Koh En Wei; Simona De Michele; K. Vidya Sudarshan; V. Jahmunah 001; Edward J. Ciaccio; Ooi Chui Ping; Raj Gururajan; Rashmi Gururajan; Shu Lih Oh; Suzanne K. Lewis; Peter H. R. Green; Govind Bhagat; et al. (Comput. Methods Programs Biomed., 2021)

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hosseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2021)

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Saeid Nahavandi (CoRR, 2021)

Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. - Prabal Datta Barua; Wai-Yee Chan; Sengül Dogan; Mehmet Baygin; Türker Tuncer; Edward J. Ciaccio; Nazrul Islam; Kang Hao Cheong; Zakia Sultana Shahid; U. Rajendra Acharya (Entropy, 2021)

ResNet-Attention model for human authentication using ECG signals. - Mohamed Hammad; Pawel Plawiak; Kuanquan Wang; Udyavara Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2021)

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. - Mariam Zomorodi Moghadam; Moloud Abdar; Zohreh Davarzani; Xujuan Zhou; Pawel Plawiak; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2021)

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer. - U. Raghavendra; Anjan Gudigar; Edward J. Ciaccio; Kwan Hoong Ng; Wai-Yee Chan; Kartini Rahmat; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2021)

Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals. - Oliver Faust; U. Rajendra Acharya (Expert Syst. Appl., 2021)

Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques. - Can Haktan Karadal; Muhammed Cagri Kaya; Türker Tuncer; Sengül Dogan; U. Rajendra Acharya (Expert Syst. Appl., 2021)

Automated EEG signal classification using chaotic local binary pattern. - Türker Tuncer; Sengül Dogan; U. Rajendra Acharya (Expert Syst. Appl., 2021)

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. - Mohammad Ehsan Basiri; Shahla Nemati; Moloud Abdar; Erik Cambria; U. Rajendra Acharya (Future Gener. Comput. Syst., 2021)

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. - Jahmunah Vicnesh; K. Vidya Sudarshan; Shu Lih Oh; Raj Gururajan; Rashmi Gururajan; Xujuan Zhou; Xiaohui Tao 001; Oliver Faust; Edward J. Ciaccio; Kwan Hoong Ng; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2021)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges. - Moloud Abdar; Farhad Pourpanah; Sadiq Hussain; Dana Rezazadegan; Li Liu 002; Mohammad Ghavamzadeh; Paul W. Fieguth; Xiaochun Cao; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2021)

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. - Moloud Abdar; Mohammad Amin Fahami; Satarupa Chakrabarti; Abbas Khosravi; Pawel Plawiak; U. Rajendra Acharya; Ryszard Tadeusiewicz; Saeid Nahavandi (Inf. Sci., 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)

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images. - The-Hanh Pham; U. Raghavendra; Joel Koh En Wei; Anjan Gudigar; Wai-Yee Chan; Marlina Tanty Ramli; Kartini Rahmat; Farhana Fadzli; Kwan Hoong Ng; Ooi Chui Ping; Edward J. Ciaccio; Hamido Fujita; et al. (J. Ambient Intell. Humaniz. Comput., 2021)

A novel machine learning framework for automated detection of arrhythmias in ECG segments. - The-Hanh Pham; Subbhuraam Vinitha Sree; John Mapes; Sumeet Dua; Shu Lih Oh; Joel E. W. Koh; Edward J. Ciaccio; U. Rajendra Acharya (J. Ambient Intell. Humaniz. Comput., 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)

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets. - Mohammad Ehsan Basiri; Shahla Nemati; Moloud Abdar; Somayeh Asadi; U. Rajendra Acharya (Knowl. Based Syst., 2021)

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals. - Oliver Faust; Ragab Barika; Alex Shenfield; Edward J. Ciaccio; U. Rajendra Acharya (Knowl. Based Syst., 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)

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. - Mohamad Beheshti Roui; Mariam Zomorodi; Masoomeh Sarvelayati; Moloud Abdar; Hamid Noori; Pawel Plawiak; Ryszard Tadeusiewicz; Xujuan Zhou; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (Knowl. Based Syst., 2021)

Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals. - Manish Sharma 001; Virendra Patel; U. Rajendra Acharya (Knowl. Based Syst., 2021)

Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques. - Türker Tuncer; Sengül Dogan; U. Rajendra Acharya (Knowl. Based Syst., 2021)

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study. - Ali Abbasian Ardakani; Robert M. Kwee; Mohammad Mirza-Aghazadeh-Attari; Horacio Matías Castro; Taha Yusuf Kuzan; Kübra Murzoglu Altintoprak; Giulia Besutti; Filippo Monelli; Fariborz Faeghi; U. Rajendra Acharya; Afshin Mohammadi (Pattern Recognit. Lett., 2021)

Role of Artificial Intelligence in COVID-19 Detection. - Anjan Gudigar; U. Raghavendra; Sneha Nayak; Ooi Chui Ping; Wai-Yee Chan; Mokshagna Rohit Gangavarapu; Chinmay Dharmik; Jyothi Samanth; Nahrizul Adib Kadri; Khairunnisa Hasikin; Prabal Datta Barua; Subrata Chakraborty; et al. (Sensors, 2021)

A Review on Computer Aided Diagnosis of Acute Brain Stroke. - Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar; Yashas Chakole; Ajay Hegde; Girish R. Menon; Prabal Datta Barua; Elizabeth Emma Palmer; Kang Hao Cheong; Wai-Yee Chan; Edward J. Ciaccio; U. Rajendra Acharya (Sensors, 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. - Ali Akbar Kekha Javan; Afshin Shoeibi; Assef Zare; Navid Hosseini Izadi; Mahboobeh Jafari; Roohallah Alizadehsani; Parisa Moridian; Amir Mosavi; U. Rajendra Acharya; Saeid Nahavandi (Sensors, 2021)

Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). - Hui Wen Loh; Wanrong Hong; Ooi Chui Ping; Subrata Chakraborty; Prabal Datta Barua; Ravinesh C. Deo; Jeffrey Soar; Elizabeth Emma Palmer; U. Rajendra Acharya (Sensors, 2021)

Development of accurate classification of heavenly bodies using novel machine learning techniques. - Michal Wierzbinski; Pawel Plawiak; Mohamed Hammad; U. Rajendra Acharya (Soft Comput., 2021)

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals. - Smith K. Khare; Varun Bajaj; U. Rajendra Acharya (IEEE Trans. Instrum. Meas., 2021)

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hoseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. - Omer Sadak; Ferhat Sadak; Özal Yildirim; Nicole M. Iverson; Rizwan Qureshi; Muhammed Talo; Ooi Chui Ping; U. Rajendra Acharya; Sundaram Gunasekaran; Tanvir Alam (IEEE Access, 2022)

Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment. - Siddhaling Urolagin; Jagadish Nayak; U. Rajendra Acharya (IEEE Access, 2022)

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network. - Hui Wen Loh; Ooi Chui Ping; Shivani Dhok; Manish Sharma 001; Ankit A. Bhurane; U. Rajendra Acharya (Appl. Intell., 2022)

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals. - Manish Sharma 001; Divyash Kumbhani; Anuj Yadav; U. Rajendra Acharya (Appl. Intell., 2022)

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images. - Mehmet Baygin; Orhan Yaman; Prabal Datta Barua; Sengül Dogan; Turker Tuncer; U. Rajendra Acharya (Artif. Intell. Medicine, 2022)

Tetromino pattern based accurate EEG emotion classification model. - Turker Tuncer; Sengul Dogan; Mehmet Baygin; U. Rajendra Acharya (Artif. Intell. Medicine, 2022)

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Parisa Moridian; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Abdulhamit Subasi; U. Rajendra Acharya; Juan Manuel Górriz (Biomed. Signal Process. Control., 2022)

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. - Berna Ari; Nebras Sobahi; Ömer Faruk Alçin; Abdulkadir Sengür; U. Rajendra Acharya (Comput. Biol. Medicine, 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)

Aleatory-aware deep uncertainty quantification for transfer learning. - Hussain Mohammed Dipu Kabir; Sadia Khanam; Fahime Khozeimeh; Abbas Khosravi; Subrota Kumar Mondal; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Explainable multi-module semantic guided attention based network for medical image segmentation. - Meghana Karri; Chandra Sekhara Rao Annavarapu; 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)

Automated detection of ADHD: Current trends and future perspective. - Hui Wen Loh; Ooi Chui Ping; Prabal Datta Barua; Elizabeth Emma Palmer; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network. - Shruti Murarka; Aditya Wadichar; Ankit A. Bhurane; Manish Sharma 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. - Delaram Sadeghi; Afshin Shoeibi; Navid Ghassemi; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Mohammad Teshnehlab; Juan Manuel Górriz; Fahime Khozeimeh; Yu-Dong Zhang 001; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals. - Manish Sharma 001; Jay Darji; Madhav Thakrar; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals. - Manish Sharma 001; Divyash Kumbhani; Jainendra Tiwari; T. Sudheer Kumar 002; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. - Afshin Shoeibi; Parisa Moridian; Marjane Khodatars; Navid Ghassemi; Mahboobeh Jafari; Roohallah Alizadehsani; Yinan Kong; Juan Manuel Górriz; Javier Ramírez 001; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (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)

A review of automated sleep disorder detection. - Shuting Xu; Oliver Faust; Silvia Seoni; Subrata Chakraborty; Prabal Datta Barua; Hui Wen Loh; Heather Elphick; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Interpretation of radiomics features-A pictorial review. - Ali Abbasian Ardakani; Nathalie J. Bureau; Edward J. Ciaccio; U. Rajendra Acharya (Comput. Methods Programs Biomed., 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 explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022). - Hui Wen Loh; Chui Ping Ooi; Silvia Seoni; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (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)

Automated emotion recognition: Current trends and future perspectives. - M. Maithri; U. Raghavendra; Anjan Gudigar; Jyothi Samanth; Prabal Datta Barua; Murugappan Murugappan; Yashas Chakole; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

Application of artificial intelligence in wearable devices: Opportunities and challenges. - Darius Nahavandi; Roohallah Alizadehsani; Abbas Khosravi; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images. - M. Maithri; Dhanush G. Ballal; Santhosh Kumar; U. Raghavendra; Anjan Gudigar; Wai-Yee Chan; Shravya Macherla; Ravindranath Vineetha; Pratibha Gopalkrishna; Edward J. Ciaccio; U. Rajendra Acharya (Comput., 2022)

Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection. - Michael J. Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Hui Wen Loh; Prabal Datta Barua; U. Rajendra Acharya (CoRR, 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)

Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Parisa Moridian; Abbas Khosravi; Assef Zare; Juan Manuel Górriz; Amir Hossein Chale-Chale; Ali Khadem; U. Rajendra Acharya (CoRR, 2022)

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. - Parisa Moridian; Navid Ghassemi; Mahboobeh Jafari; Salam Salloum-Asfar; Delaram Sadeghi; Marjane Khodatars; Afshin Shoeibi; Abbas Khosravi; Sai Ho Ling; Abdulhamit Subasi; Sara A. Abdulla; Roohallah Alizadehsani; et al. (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)

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. - Mahboobeh Jafari; Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Abbas Khosravi; Sai Ho Ling; Roohallah Alizadehsani; Amin Beheshti; Yu-Dong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; U. Rajendra Acharya; et al. (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)

Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features. - Ankit A. Bhurane; Shivani Dhok; Manish Sharma 001; Yuvaraj Rajamanickam; Murugappan Murugappan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals. - Hui Wen Loh; Ooi Chui Ping; Emrah Aydemir; Turker Tuncer; Sengül Dogan; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma. - The-Hanh Pham; Oliver Faust; Joel Koh En Wei; Edward J. Ciaccio; Prabal Datta Barua; Norlia Omar; Wei Lin Ng; Nazimah Ab Mumin; Kartini Rahmat; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2022)

DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals. - Erhan Akbal; Prabal Datta Barua; Sengül Dogan; Turker Tuncer; U. Rajendra Acharya (Expert Syst. Appl., 2022)

Automated accurate fire detection system using ensemble pretrained residual network. - Sengul Dogan; Prabal Datta Barua; Hüseyin Kutlu; Mehmet Baygin; Hamido Fujita; Turker Tuncer; U. Rajendra Acharya (Expert Syst. Appl., 2022)

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images. - El-Sayed A. El-Dahshan; Mahmoud M. Bassiouni; Ahmed Hagag; Ripon K. Chakrabortty; Hui Wen Loh; U. Rajendra Acharya (Expert Syst. Appl., 2022)

A novel genetic algorithm based system for the scheduling of medical treatments. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; Udyavara Rajendra Acharya (Expert Syst. Appl., 2022)

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset. - Erkan Deniz; Nebras Sobahi; Naaman Omar; Abdulkadir Sengür; U. Rajendra Acharya (Health Inf. Sci. Syst., 2022)

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. - U. Raghavendra; Anjan Gudigar; Tejaswi N. Rao; V. Rajinikanth; Edward J. Ciaccio; Chai Hong Yeong; Suresh Chandra Satapathy; Filippo Molinari; U. Rajendra Acharya (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)

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques. - Vidhya V.; U. Raghavendra; Anjan Gudigar; Praneet Kasula; Yashas Chakole; Ajay Hegde; Girish Menon R; Ooi Chui Ping; Edward J. Ciaccio; U. Rajendra Acharya (Informatics, 2022)

Efficient deep neural network model for classification of grasp types using sEMG signals. - Musab Coskun; Özal Yildirim; Yakup Demir; U. Rajendra Acharya (J. Ambient Intell. Humaniz. Comput., 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)

FedStack: Personalized activity monitoring using stacked federated learning. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Raj Gururajan; Yuefeng Li; Xujuan Zhou; U. Rajendra Acharya (Knowl. Based Syst., 2022)

Development of novel automated language classification model using pyramid pattern technique with speech signals. - Erhan Akbal; Prabal Datta Barua; Turker Tuncer; Sengul Dogan; U. Rajendra Acharya (Neural Comput. Appl., 2022)

Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques. - Türker Tuncer; Sengül Dogan; Erhan Akbal; Abdullah Cicekli; U. Rajendra Acharya (Neural Comput. Appl., 2022)

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images. - Ghazal Bargshady; Xujuan Zhou; Prabal Datta Barua; Raj Gururajan; Yuefeng Li; U. Rajendra Acharya (Pattern Recognit. Lett., 2022)

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal. - Mehmet Baygin; Prabal Datta Barua; Sengül Dogan; Türker Tuncer; Sefa Key; U. Rajendra Acharya; Kang Hao Cheong (Sensors, 2022)

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. - Zakaria Senousy; Mohammed M. Abdelsamea; Mohamed Medhat Gaber; Moloud Abdar; U. Rajendra Acharya; Abbas Khosravi; Saeid Nahavandi (IEEE Trans. Biomed. Eng., 2022)

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. - Mohamad Roshanzamir; Roohallah Alizadehsani; Mahdi Roshanzamir; Afshin Shoeibi; Juan Manuel Górriz; Abbas Khosravi; Saeid Nahavandi; U. Rajendra Acharya (DIS, 2023)

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)

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks. - Michael J. Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Prabal Datta Barua; Hasan Saeed Mir; Fang Chen 001; Jianlong Zhou; U. Rajendra Acharya (IEEE Access, 2023)

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. - Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar; Sarvesh Bhandary; Massimo Salvi; Ravinesh C. Deo; Prabal Datta Barua; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2023)

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). - S. Janifer Jabin Jui; Ravinesh C. Deo; Prabal Datta Barua; Aruna Devi; Jeffrey Soar; U. Rajendra Acharya (IEEE Access, 2023)

EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images. - Tarik Kivrak; Jagadish Nayak; Mehmet Ali Gelen; Prabal Datta Barua; Mehmet Baygin; Hilal Erken Pamukcu; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (IEEE Access, 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. - Neethu Mohan; S. Sachin Kumar; K. P. Soman; V. G. Sujadevi; Prabaharan Poornachandran; U. Rajendra Acharya (IEEE Access, 2023)

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals. - Manish Sharma 001; Harsh Lodhi; Rishita Yadav; Niranjana Sampathila; Swathi Katta S.; U. Rajendra Acharya (IEEE Access, 2023)

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. - Vidhya V.; U. Raghavendra; Anjan Gudigar; Sudipta Basak; Sankalp Mallappa; Ajay Hegde; Girish R. Menon; Prabal Datta Barua; Massimo Salvi; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2023)

A Hierarchical Approach for the Diagnosis of Sleep Disorders Using Convolutional Recurrent Neural Network. - Aditya Wadichar; Shruti Murarka; Dhruvi Shah; Ankit A. Bhurane; Manish Sharma 001; Hasan Saeed Mir; U. Rajendra Acharya (IEEE Access, 2023)

Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022). - Hamwira Yaacob; Farhad Hossain; Sharunizam Shari; Smith K. Khare; Chui Ping Ooi; 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)

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images. - Veena Mayya; S. Sowmya Kamath; Uma Kulkarni; Divyalakshmi Kaiyoor Surya; U. Rajendra Acharya (Appl. Intell., 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)

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies. - Ali Abbasian Ardakani; Afshin Mohammadi; Mohammad Mirza-Aghazadeh-Attari; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

RECOMMED: A Comprehensive Pharmaceutical Recommendation System. - Mariam Zomorodi; Ismail Ghodsollahee; Pawel Plawiak; U. Rajendra Acharya (CoRR, 2023)

Uncertainty Aware Neural Network from Similarity and Sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shadi Mohamed; Saeid Nahavandi; U. Rajendra Acharya (CoRR, 2023)

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks. - Michael James Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Prabal Datta Barua; U. Rajendra Acharya; Fang Chen 001; Jianlong Zhou (CoRR, 2023)

A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. - Niloufar Delfan; Mohammadreza Shahsavari; Sadiq Hussain; Robertas Damasevicius; U. Rajendra Acharya (CoRR, 2023)

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (CoRR, 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)

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (CoRR, 2023)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (CoRR, 2023)

Automated Schizophrenia detection using local descriptors with EEG signals. - T. Sunil Kumar; Kandala N. V. P. S. Rajesh; Shishir Maheswari; Vivek Kanhangad; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2023)

Automated detection of scaphoid fractures using deep neural networks in radiographs. - Amanpreet Singh; Ali Abbasian Ardakani; Hui Wen Loh; P. V. Anamika; U. Rajendra Acharya; Sidharth Kamath; Anil K. Bhat (Eng. Appl. Artif. Intell., 2023)

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 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)

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. - Moloud Abdar; Mohammad Amin Fahami; Leonardo Rundo; Petia Radeva; Alejandro F. Frangi; U. Rajendra Acharya; Abbas Khosravi; Hak-Keung Lam; Alexander Jung; Saeid Nahavandi (IEEE Trans. Ind. Informatics, 2023)

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Lin Li 001; Raj Gururajan; Xujuan Zhou; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2023)

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network. - V. Jahmunah 001; Sylvia Chen; Shu Lih Oh; U. Rajendra Acharya; Balram Chowbay (Comput. Biol. Medicine, 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)

Swarm Intelligence in Internet of Medical Things: A Review. - Roohallah Alizadehsani; Mohamad Roshanzamir; Navid Hoseini Izadi; Raffaele Gravina; Hussain Mohammed Dipu Kabir; Darius Nahavandi; Hamid Alinejad-Rokny; Abbas Khosravi; U. Rajendra Acharya; Saeid Nahavandi; Giancarlo Fortino (Sensors, 2023)

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. - Smith K. Khare; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images. - Oliver Faust; Simona De Michele; Joel E. W. Koh; V. Jahmunah 001; Shu Lih Oh; Aditya P. Kamath; Prabal Datta Barua; Edward J. Ciaccio; Suzanne K. Lewis; Peter H. R. Green; Govind Bhagat; 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)

A new one-dimensional testosterone pattern-based EEG sentence classification method. - Tugce Keles; Arif Metehan Yildiz; Prabal Datta Barua; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Caner Feyzi Demir; Edward J. Ciaccio; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2023)

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis. - Ali Abbasian Ardakani; Afshin Mohammadi; Fariborz Faeghi; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2023)

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. - Anjan Gudigar; U. Raghavendra; Tejaswi N. Rao; Jyothi Samanth; Venkatesan Rajinikanth; Suresh Chandra Satapathy; Edward J. Ciaccio; Wai-Yee Chan; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2023)

Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels. - Prabal Datta Barua; Emrah Aydemir; Sengul Dogan; Mehmet Erten; Feyzi Kaysi; Turker Tuncer; Hamido Fujita; Elizabeth Emma Palmer; U. Rajendra Acharya (Neural Comput. Appl., 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)

Skin lesion segmentation using two-phase cross-domain transfer learning framework. - Meghana Karri; Chandra Sekhara Rao Annavarapu; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022). - Joshua Sheehy; Hamish Rutledge; U. Rajendra Acharya; Hui Wen Loh; Raj Gururajan; Xiaohui Tao 001; Xujuan Zhou; Yuefeng Li; Tiana Gurney; Srinivas Kondalsamy-Chennakesavan (Artif. Intell. Medicine, 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)

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals. - U. Raghavendra; Anjan Gudigar; Yashas Chakole; Praneet Kasula; Subha D. Puthankattil; Nahrizul Adib Kadri; Edward J. Ciaccio; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2023)

Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment. - Manish Sharma 001; Sohamkumar Patel; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2023)

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. - Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Navid Ghassemi; Parisa Moridian; Roohallah Alizadehsani; Sai Ho Ling; Abbas Khosravi; Hamid Alinejad-Rokny; Hak-Keung Lam; Matthew Fuller-Tyszkiewicz; U. Rajendra Acharya; et al. (Inf. Fusion, 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)

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation. - Meghana Karri; Chandra Sekhara Rao Annavarapu; U. Rajendra Acharya (Appl. Intell., 2023)

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Navid Ghassemi; Parisa Moridian; Roohallah Alizadehsani; Abbas Khosravi; Sai Ho Ling; Niloufar Delfan; Yudong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; et al. (Comput. Biol. Medicine, 2023)

Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges. - Manish Sharma 001; Harsh Lodhi; Rishita Yadav; Heather Elphick; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. - Taha Müezzinoglu; Nursena Baygin; Ilknur Tuncer; Prabal Datta Barua; Mehmet Baygin; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Kang Hao Cheong; U. Rajendra Acharya (J. Digit. Imaging, 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)

Automated semantic lung segmentation in chest CT images using deep neural network. - M. Murugappan; Ali K. Bourisly; N. B. Prakash 001; M. G. Sumithra 001; U. Rajendra Acharya (Neural Comput. Appl., 2023)

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models. - Michael J. Horry; Subrata Chakraborty; Biswajeet Pradhan; Manoranjan Paul; Jing Zhu; Hui Wen Loh; Prabal Datta Barua; U. Rajendra Acharya (Sensors, 2023)

Automated facial expression recognition using exemplar hybrid deep feature generation technique. - Mehmet Baygin; Ilknur Tuncer; Sengul Dogan; Prabal Datta Barua; Turker Tuncer; Kang Hao Cheong; U. Rajendra Acharya (Soft Comput., 2023)

A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank. - Manish Sharma 001; Paresh Makwana; Rajesh Singh Chad; U. Rajendra Acharya (Appl. Intell., 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)

Application of novel DIRF feature selection algorithm for automated brain disease detection. - Süleyman Yaman; Elif Isilay Ünlü; Hasan Güler; Abdulkadir Sengür; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

A novel tree pattern-based violence detection model using audio signals. - Arif Metehan Yildiz; Prabal Datta Barua; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Chui Ping Ooi; Hamido Fujita; U. Rajendra Acharya (Expert Syst. Appl., 2023)

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals. - Irem Tasci; Burak Tasci; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Hamido Fujita; U. Rajendra Acharya (Inf. Fusion, 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)

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals. - Orhan Atila; Erkan Deniz; Ali Ari; Abdulkadir Sengür; Subrata Chakraborty; Prabal Datta Barua; U. Rajendra Acharya (Sensors, 2023)

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals. - Samiul Based Shuvo; Syed Samiul Alam; Syeda Umme Ayman; Arbil Chakma; Prabal Datta Barua; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. - Shu Lih Oh; V. Jahmunah 001; Elizabeth Emma Palmer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. - U. Raghavendra; Anjan Gudigar; Aritra Paul; T. S. Goutham; Mahesh Anil Inamdar; Ajay Hegde; Aruna Devi; Chui Ping Ooi; Ravinesh C. Deo; Prabal Datta Barua; Filippo Molinari; Edward J. Ciaccio; et al. (Comput. Biol. Medicine, 2023)

CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals. - Manish Sharma 001; Sarv Verma; Divyansh Anand; Vikram M. Gadre; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals. - Sakir Engin Sahin; Gokhan Gulhan; Prabal Datta Barua; Turker Tuncer; Sengul Dogan; Oliver Faust; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2023)

Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques. - Erhan Akbal; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (Expert Syst. Appl., 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. - Moloud Abdar; Arash Mehrzadi; Milad Goudarzi; Farzad Masoudkabir; Leonardo Rundo; Mohammad Mamouei; Evis Sala; Abbas Khosravi; Vladimir Makarenkov; U. Rajendra Acharya; Seyedmohammad Saadatagah; Mohammadreza Naderian; et al. (Inf. Fusion, 2023)

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. - Kiran Kumar Patro; Allam Jaya Prakash; Bala Chakravarthy Neelapu; Ryszard Tadeusiewicz; U. Rajendra Acharya; Mohamed Hammad; Özal Yildirim; Pawel Plawiak (Inf. Sci., 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)

Emotion recognition in EEG signals using deep learning methods: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Sara Bagherzadeh; Ahmad Shalbaf; David López-García; Juan Manuel Górriz; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023). - Silvia Seoni; Jahmunah Vicnesh; Massimo Salvi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 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)

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. - Smith K. Khare; U. Rajendra Acharya (Knowl. Based Syst., 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)

Deep neural network technique for automated detection of ADHD and CD using ECG signal. - Hui Wen Loh; Chui Ping Ooi; Shu Lih Oh; Prabal Datta Barua; Yi Ren Tan; Filippo Molinari; Sonja March; U. Rajendra Acharya; Daniel Shuen Sheng Fung (Comput. Methods Programs Biomed., 2023)

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). - Shuting Xu; Ravinesh C. Deo; Jeffrey Soar; Prabal Datta Barua; Oliver Faust; Nusrat Homaira; Adam Jaffe; Arm Luthful Kabir; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals. - Manish Sharma 001; Divyansh Anand; Sarv Verma; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 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)

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. - Smith K. Khare; Sonja March; Prabal Datta Barua; Vikram M. Gadre; U. Rajendra Acharya (Inf. Fusion, 2023)

Multi-objective squirrel search algorithm for EEG feature selection. - Chao Wang 105; Songjie Li; Miao Shi; Jie Zhao; Tao Wen 003; U. Rajendra Acharya; Nenggang Xie; Kang Hao Cheong (J. Comput. Sci., 2023)

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; U. Rajendra Acharya; Yuefeng Li (Brain Informatics, 2023)

Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; Yuefeng Li; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals. - Yagmur Olmez; Gonca Ozmen Koca; Abdulkadir Sengür; U. Rajendra Acharya (Health Inf. Sci. Syst., 2023)

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI. - Ela Kaplan; Wai-Yee Chan; Hasan Baki Altinsoy; Mehmet Baygin; Prabal Datta Barua; Subrata Chakraborty; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (J. Digit. Imaging, 2023)

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. - Tanweer Ali; Sameena Pathan; Massimo Salvi; Kristen M. Meiburger; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 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)

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images. - Anjan Gudigar; Nahrizul Adib Kadri; U. Raghavendra; Jyothi Samanth; Mahesh Anil Inamdar; Mukund A. Prabhu; 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)

Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023). - Saad Islam; Ravinesh C. Deo; Prabal Datta Barua; Jeffrey Soar; Ping Yu 004; U. Rajendra Acharya (IEEE Access, 2024)

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation. - Yagmur Olmez; Gonca Ozmen Koca; Abdulkadir Sengür; U. Rajendra Acharya; Hasan Saeed Mir (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)

Automated accurate insomnia detection system using wavelet scattering method using ECG signals. - Nishant Sharma; Manish Sharma 001; Hardik Telangore; U. Rajendra Acharya (Appl. Intell., 2024)

RECOMED: A comprehensive pharmaceutical recommendation system. - Mariam Zomorodi; Ismail Ghodsollahee; Jennifer H. Martin; Nicholas J. Talley; Vahid Salari; Pawel Plawiak; Kazem Rahimi; U. Rajendra Acharya (Artif. Intell. Medicine, 2024)

Automated EEG-based language detection using directed quantum pattern technique. - Sengul Dogan; Turker Tuncer; Prabal Datta Barua; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Transfer learning with spinally shared layers. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Syed Bahauddin Alam; U. Rajendra Acharya (Appl. Soft Comput., 2024)

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. - Massimo Salvi; Alessandro Mogetta; U. Raghavendra; Anjan Gudigar; U. Rajendra Acharya; Filippo Molinari (Appl. Soft Comput., 2024)

A lightweight deep convolutional neural network model for skin cancer image classification. - Turker Tuncer; Prabal Datta Barua; Ilknur Tuncer; Sengul Dogan; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (Biomed. Signal Process. Control., 2024)

Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course. - Sujan Ghimire; Shahab A. Abdulla; Lionel P. Joseph; Salvin Prasad; Angela Murphy; Aruna Devi; Prabal Datta Barua; Ravinesh C. Deo; Udyavara Rajendra Acharya; Zaher Mundher Yaseen (Comput. Educ. Artif. Intell., 2024)

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). - Anjan Gudigar; Nahrizul Adib Kadri; U. Raghavendra; Jyothi Samanth; M. Maithri; Mahesh Anil Inamdar; Mukund A. Prabhu; Ajay Hegde; Massimo Salvi; Chai Hong Yeong; Prabal Datta Barua; Filippo Molinari; et al. (Comput. Biol. Medicine, 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)

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023). - Muhammed Halil Akpinar; Abdulkadir Sengür; Oliver Faust; Louis Tong; Filippo Molinari; U. Rajendra Acharya (Comput. Methods Programs Biomed., 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)

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model. - Xiaopeng Ji; Yan Li 002; Peng Wen 001; Prabal Datta Barua; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. - Silvia Seoni; Alen Shahini; Kristen M. Meiburger; Francesco Marzola; Giulia Rotunno; U. Rajendra Acharya; Filippo Molinari; Massimo Salvi (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)

Novel entropy difference-based EEG channel selection technique for automated detection of ADHD. - Shishir Maheshwari; Kandala N. V. P. S. Rajesh; Vivek Kanhangad; U. Rajendra Acharya; T. Sunil Kumar (CoRR, 2024)

DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Haoran Xie 001; Xujuan Zhou; Yuefeng Li; U. Rajendra Acharya (CoRR, 2024)

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; U. Rajendra Acharya; Raj Gururajan; Haoran Xie 001; Xujuan Zhou (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)

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images. - Dipankar Das; Deepak Ranjan Nayak; Sulatha V. Bhandary; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals. - Sengul Dogan; Prabal Datta Barua; Turker Tuncer; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. - Sujan Ghimire; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; S. Ali Pourmousavi; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. - Anirudh Atmakuru; Subrata Chakraborty; Oliver Faust; Massimo Salvi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya; Nusrat Homaira (Expert Syst. Appl., 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)

Automated detection and forecasting of COVID-19 using deep learning techniques: A review. - Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Navid Ghassemi; Delaram Sadeghi; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Sadiq Hussain; Assef Zare; Zahra Alizadeh Sani; Fahime Khozeimeh; et al. (Neurocomputing, 2024)

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. - Elham Nasarian; Roohallah Alizadehsani; U. Rajendra Acharya; Kwok-Leung Tsui (Inf. Fusion, 2024)

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. - Silvia Seoni; Filippo Molinari; U. Rajendra Acharya; Shu Lih Oh; Prabal Datta Barua; Salvador García 001; Massimo Salvi (Inf. Sci., 2024)

N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals. - Prabal Datta Barua; Turker Tuncer; Mehmet Baygin; Sengul Dogan; U. Rajendra Acharya (Knowl. Based Syst., 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)

Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification. - Turker Tuncer; Sengul Dogan; Mehmet Baygin; Irem Tasci; Bulent Mungen; Burak Tasci; Prabal Datta Barua; 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)

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. - Mahboobeh Jafari; Delaram Sadeghi; Afshin Shoeibi; Hamid Alinejad-Rokny; Amin Beheshti; David López-García; Zhaolin Chen; U. Rajendra Acharya; Juan Manuel Górriz (Appl. Intell., 2024)

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. - Behrouz Ahadzadeh; Moloud Abdar; Fatemeh Safara; Leyla Aghaei; Seyedali Mirjalili; Abbas Khosravi; Salvador García 001; Fakhri Karray; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space. - Maryam Fallahpoor; Subrata Chakraborty; Biswajeet Pradhan; Oliver Faust; Prabal Datta Barua; Chegeni Hossein; U. Rajendra Acharya (Comput. Methods Programs Biomed., 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)

Sleep disorder identification using wavelet scattering on ECG signals. - Manish Sharma 001; Harsh Lodhi; Rishita Yadav; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2024)

Application of TQWT based filter-bank for sleep apnea screening using ECG signals. - Anurag Nishad; Ram Bilas Pachori; U. Rajendra Acharya (J. Ambient Intell. Humaniz. Comput., 2024)

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system. - Sinan Tatli; Gulay Macin; Irem Tasci; Burak Tasci; Prabal Datta Barua; Mehmet Baygin; Turker Tuncer; Sengul Dogan; Edward J. Ciaccio; U. Rajendra Acharya (Expert Syst. Appl., 2024)

Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. - Smith K. Khare; Victoria Blanes-Vidal; Esmaeil S. Nadimi; U. Rajendra Acharya (Inf. Fusion, 2024)

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images. - Pradipta Sasmal; Vanshali Sharma; Allam Jaya Prakash; Manas Kamal Bhuyan; Kiran Kumar Patro; Nagwan M. Abdel Samee; Hayam Alamro; Yuji Iwahori; Ryszard Tadeusiewicz; U. Rajendra Acharya; Pawel Plawiak (Inf. Sci., 2024)

An automated earthquake classification model based on a new butterfly pattern using seismic signals. - Suat Gokhan Ozkaya; Mehmet Baygin; Prabal Datta Barua; Turker Tuncer; Sengul Dogan; Subrata Chakraborty; U. Rajendra Acharya (Expert Syst. Appl., 2024)

Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. - Jiale Xiong; Jing Yang 054; Lei Yan; Muhammad Awais; Abdullah Ayub Khan; Roohallah Alizadehsani; U. Rajendra Acharya (Expert Syst. Appl., 2024)

Multi-modality approaches for medical support systems: A systematic review of the last decade. - Massimo Salvi; Hui Wen Loh; Silvia Seoni; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 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)

Automated schizophrenia detection model using blood sample scattergram images and local binary pattern. - Burak Tasci; Gulay Tasci; Hakan Ayyildiz; Aditya P. Kamath; Prabal Datta Barua; Turker Tuncer; Sengul Dogan; Edward J. Ciaccio; Subrata Chakraborty; U. Rajendra Acharya (Multim. Tools Appl., 2024)

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features. - Manish Sharma 001; Ankit A. Bhurane; U. Rajendra Acharya (Expert Syst. J. Knowl. Eng., 2024)

Automated reading level classification model based on improved orbital pattern. - Rusul Qasim Abed; Melih Dikmen; Emrah Aydemir; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Elizabeth Emma Palmer; Edward J. Ciaccio; U. Rajendra Acharya (Multim. Tools Appl., 2024)

Novel automated detection of sports activities using shadow videos. - Prabal Datta Barua; Turker Tuncer; Sengul Dogan; Chui Ping Ooi; U. Rajendra Acharya (Multim. Tools Appl., 2024)

A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. - Niloufar Delfan; Mohammadreza Shahsavari; Sadiq Hussain; Robertas Damasevicius; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2024)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - Roohallah Alizadehsani; Mohamad Roshanzamir; Sadiq Hussain; Abbas Khosravi; Afsaneh Koohestani; Mohammad Hossein Zangooei; Moloud Abdar; Adham Beykikhoshk; Afshin Shoeibi; Assef Zare; Maryam Panahiazar; Saeid Nahavandi; et al. (Ann. Oper. Res., 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)

MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201. - Fahrettin Burak Demir; Mehmet Baygin; Ilknur Tuncer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Chui Ping Ooi; Edward J. Ciaccio; 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)

Uncertainty aware neural network from similarity and sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shady M. K. Mohamed; Saeid Nahavandi; U. Rajendra Acharya (Appl. Soft Comput., 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)

Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals. - Prabal Datta Barua; Makiko Kobayashi; Sengul Dogan; Mehmet Baygin; Turker Tuncer; Jose Kunnel Paul; Thomas Iype; U. Rajendra Acharya (IEEE Access, 2025)

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Ravinesh C. Deo; Abdul Hafeez-Baig; Tracy Kolbe-Alexander; Niranjana Sampathila; 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)

FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things. - Nikhil B. Gaikwad; Smith K. Khare; Dinesh Mendhe; Hasan Saeed Mir; Sokol Kosta; U. Rajendra Acharya (IEEE Access, 2025)

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification. - Mahesh Anil Inamdar; Anjan Gudigar; U. Raghavendra; Massimo Salvi; Raja Rizal Azman Bin Raja Aman; Nadia Fareeda Muhammad Gowdh; Izzah Amirah Binti Mohd Ahir; Mohd Salahuddin Bin Kamaruddin; Khairul Azmi Abdul Kadir; Filippo Molinari; Ajay Hegde; Girish R. Menon; et al. (IEEE Access, 2025)

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals. - M. Maithri; U. Raghavendra; Anjan Gudigar; Samir Kumar Praharaj; Karthikeyan Sriram; Massimo Salvi; Chai Hong Yeong; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2025)

Automated Identification of Cyclic Alternating Patterns of Sleep Using Fusion of VGG16 and Vision Transformer. - Hardik Telangore; Ashutosh Kumar Jha; Prithviraj Verma; Manish Sharma 001; Chakka Sabareesh; Ankit A. Bhurane; Hasan Saeed Mir; U. Rajendra Acharya (IEEE Access, 2025)

PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units. - Hardik Telangore; Heneel Makwana; Prithviraj Verma; Manish Sharma 001; Hasan Saeed Mir; U. Rajendra Acharya (IEEE Access, 2025)

Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024). - Jahmunah Vicnesh; Massimo Salvi; Yuki Hagiwara; Hah Yan Yee; Hasan Saeed Mir; Prabal Datta Barua; Subrata Chakraborty; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2025)

NEDL-GCP: A nested ensemble deep learning model for Gynecological cancer risk prediction. - Kamal Berahmand; Xujuan Zhou; Yuefeng Li; Raj Gururajan; Prabal Datta Barua; U. Rajendra Acharya; Srinivas Kondalsamy-Chennakesavan (Array, 2025)

FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection. - Ilknur Tuncer; Abdul Hafeez-Baig; Prabal Datta Barua; Rena Hajiyeva; Massimo Salvi; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (Biomed. Signal Process. Control., 2025)

MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns. - Süleyman Yaman; Hasan Güler; Abdulkadir Sengür; Abdul Hafeez-Baig; U. Rajendra Acharya (Biomed. Signal Process. Control., 2025)

Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities. - Kourosh Kakhi; Senthil Kumar Jagatheesaperumal; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (Comput. Biol. Medicine, 2025)

Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation. - Yintong Liu; U. Rajendra Acharya; Jen Hong 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)

A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals. - Orhan Atila; Muhammed Halil Akpinar; Abdulkadir Sengür; U. Rajendra Acharya (Commun. Nonlinear Sci. Numer. Simul., 2025)

BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things. - Abdullah Ayub Khan; Jing Yang 054; Asif Ali Laghari; Abdullah M. Baqasah; Roobaea Alroobaea; Chin Soon Ku; Roohallah Alizadehsani; U. Rajendra Acharya; Lip Yee Por (Eng. Appl. Artif. Intell., 2025)

A database of dentition images of Indian breed cattle and estimation of cattle's age using deep learning algorithms. - Chinmay Vijay Patil; Ankit A. Bhurane; Preeti Ghasad; Vipin Milind Kamble; Manish Sharma 001; Anand Singh; Nareshkumar Nandeshwar; Ru-San Tan; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2025)

A dual-method approach using autoencoders and transductive learning for remaining useful life estimation. - Jing Yang 054; Nika Anoosha Boroojeni; Mehran Kazemi Chahardeh; Lip Yee Por; Roohallah Alizadehsani; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2025)

Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review. - Sreeni Chadalavada; Oliver Faust; Massimo Salvi; Silvia Seoni; Nawin Raj; U. Raghavendra; Anjan Gudigar; Prabal Datta Barua; Filippo Molinari; Udyavara Rajendra Acharya (Environ. Model. Softw., 2025)

Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training. - Yi Xiang; U. Rajendra Acharya; Quan Le; Jen Hong Tan; Chiaw-Ling Chng (Frontiers Artif. Intell., 2025)

Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. - Massimo Salvi; Silvia Seoni; Andrea Campagner; Arkadiusz Gertych; U. Rajendra Acharya; Filippo Molinari; Federico Cabitza (Int. J. Medical Informatics, 2025)

Neurostressology: A systematic review of EEG-based automated mental stress perspectives. - Sayantan Acharya; Abbas Khosravi; Douglas Creighton; Roohallah Alizadehsani; U. Rajendra Acharya (Inf. Fusion, 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)

Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (Knowl. Based Syst., 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)

AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models. - Mehmet Aydin 004; Prabal Datta Barua; Sreenivasulu Chadalavada; Sengul Dogan; Turker Tuncer; Subrata Chakraborty; Udyavara Rajendra Acharya (Multim. Tools Appl., 2025)

Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data. - Siuly Siuly; Md. Nurul Ahad Tawhid; Yan Li 002; U. Rajendra Acharya; Muhammad Tariq Sadiq; Hua Wang 002 (Cogn. Comput., 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)

Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation. - Hamzeh Asgharnezhad; Pegah Tabarisaadi; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (CoRR, 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)

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review. - Samiul Based Shuvo; Syed Samiul Alam; Syeda Umme Ayman; Arbil Chakma; Massimo Salvi; Silvia Seoni; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2025)

ResCap-DBP: A Lightweight Residual-Capsule Network for Accurate DNA-Binding Protein Prediction Using Global ProteinBERT Embeddings. - Samiul Based Shuvo; Tasnia Binte Mamun; U. Rajendra Acharya (CoRR, 2025)

Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation. - Ali Abbasian Ardakani; Afshin Mohammadi; Taha Yusuf Kuzan; Beyza Nur Kuzan; Hamid Khorshidi; Ashkan Ghorbani; Alisa Mohebbi; Fariborz Faeghi; Sepideh Hatamikia; U. Rajendra Acharya (CoRR, 2025)

Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection. - Kourosh Kakhi; Abbas Khosravi; Roohallah Alizadehsani; U. Rajendra Acharya (CoRR, 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)