| 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 | 731 | 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 | 447 | 2017 |
| 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 | 415 | 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 | 408 | 2018 |
| 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 | 353 | 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 | 226 | 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 | 201 | 2017 |
| 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 | 184 | 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, 1-7, 2018 | 170 | 2018 |
| 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 | 167 | 2018 |
| 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 | 139 | 2018 |
| 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 | 139 | 2017 |
| 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 | 136 | 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 | 122 | 2016 |
| 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, R San Tan Applied Intelligence 49 (1), 16-27, 2019 | 101 | 2019 |
| Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals UR Acharya, VK Sudarshan, JEW Koh, RJ Martis, JH Tan, SL Oh, ... Biomedical Signal Processing and Control 31, 31-43, 2017 | 82 | 2017 |
| Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal UR Acharya, H Fujita, VK Sudarshan, SL Oh, M Adam, JH Tan, JH Koo, ... Knowledge-Based Systems 132, 156-166, 2017 | 61 | 2017 |
| 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 | 57 | 2019 |
| 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 | 56 | 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 | 50 | 2018 |
U Rajendra Acharya (SCI Highly Cited...Ngee Ann, Singapore University of Social Science, University of Malaya, MalaysiaVerified email at np.edu.sg
