| Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli Computers in biology and medicine 100, 270-278, 2018 | 1664 | 2018 |
| A deep convolutional neural network model to classify heartbeats UR Acharya, SL Oh, Y Hagiwara, JH Tan, M Adam, A Gertych, R San Tan Computers in biology and medicine 89, 389-396, 2017 | 1369 | 2017 |
| Deep learning for healthcare applications based on physiological signals: A review O Faust, Y Hagiwara, TJ Hong, OS Lih, UR Acharya Computer methods and programs in biomedicine 161, 1-13, 2018 | 1053 | 2018 |
| Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam Information Sciences 415, 190-198, 2017 | 970 | 2017 |
| Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam Information sciences 405, 81-90, 2017 | 787 | 2017 |
| Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats SL Oh, EYK Ng, R San Tan, UR Acharya Computers in biology and medicine 102, 278-287, 2018 | 692 | 2018 |
| A deep learning approach for Parkinson’s disease diagnosis from EEG signals SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ... Neural Computing and Applications 32, 10927-10933, 2020 | 617 | 2020 |
| Automated EEG-based screening of depression using deep convolutional neural network UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli, DP Subha Computer methods and programs in biomedicine 161, 103-113, 2018 | 576 | 2018 |
| Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network UR Acharya, H Fujita, OS Lih, M Adam, JH Tan, CK Chua Knowledge-Based Systems 132, 62-71, 2017 | 372 | 2017 |
| Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals JH Tan, Y Hagiwara, W Pang, I Lim, SL Oh, M Adam, R San Tan, M Chen, ... Computers in biology and medicine 94, 19-26, 2018 | 366 | 2018 |
| Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam, RS Tan Applied Intelligence 49, 16-27, 2019 | 317 | 2019 |
| Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018 | 306 | 2018 |
| Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals SL Oh, J Vicnesh, EJ Ciaccio, R Yuvaraj, UR Acharya Applied Sciences 9 (14), 2870, 2019 | 270 | 2019 |
| Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads UR Acharya, H Fujita, VK Sudarshan, SL Oh, M Adam, JEW Koh, JH Tan, ... Knowledge-Based Systems 99, 146-156, 2016 | 251 | 2016 |
| Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study UR Acharya, H Fujita, M Adam, OS Lih, VK Sudarshan, TJ Hong, ... Information Sciences 377, 17-29, 2017 | 245 | 2017 |
| Comprehensive electrocardiographic diagnosis based on deep learning OS Lih, V Jahmunah, TR San, EJ Ciaccio, T Yamakawa, M Tanabe, ... Artificial intelligence in medicine 103, 101789, 2020 | 215 | 2020 |
| Automated detection of schizophrenia using nonlinear signal processing methods V Jahmunah, SL Oh, V Rajinikanth, EJ Ciaccio, KH Cheong, N Arunkumar, ... Artificial intelligence in medicine 100, 101698, 2019 | 214 | 2019 |
| Characterization of focal EEG signals: A review UR Acharya, Y Hagiwara, SN Deshpande, S Suren, JEW Koh, SL Oh, ... Future Generation Computer Systems 91, 290-299, 2019 | 198 | 2019 |
| Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review Y Hagiwara, H Fujita, SL Oh, JH Tan, R San Tan, EJ Ciaccio, UR Acharya Information Sciences 467, 99-114, 2018 | 193 | 2018 |
| Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types SL Oh, EYK Ng, R San Tan, UR Acharya Computers in biology and medicine 105, 92-101, 2019 | 171 | 2019 |
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaVerified email at usq.edu.au
