| Heart rate variability: a review U Rajendra Acharya, K Paul Joseph, N Kannathal, CM Lim, JS Suri Medical and biological engineering and computing 44, 1031-1051, 2006 | 3657 | 2006 |
| Automated detection of COVID-19 cases using deep neural networks with X-ray images T Ozturk, M Talo, EA Yildirim, UB Baloglu, O Yildirim, UR Acharya Computers in biology and medicine 121, 103792, 2020 | 2671 | 2020 |
| A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information fusion 76, 243-297, 2021 | 1826 | 2021 |
| 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 | 1591 | 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 | 1302 | 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 | 1012 | 2018 |
| Entropies for detection of epilepsy in EEG N Kannathal, ML Choo, UR Acharya, PK Sadasivan Computer methods and programs in biomedicine 80 (3), 187-194, 2005 | 953 | 2005 |
| 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 | 921 | 2017 |
| Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks AA Ardakani, AR Kanafi, UR Acharya, N Khadem, A Mohammadi Computers in biology and medicine 121, 103795, 2020 | 880 | 2020 |
| Automated EEG analysis of epilepsy: a review UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri Knowledge-Based Systems 45, 147-165, 2013 | 879 | 2013 |
| ECG beat classification using PCA, LDA, ICA and discrete wavelet transform RJ Martis, UR Acharya, LC Min Biomedical Signal Processing and Control 8 (5), 437-448, 2013 | 792 | 2013 |
| Arrhythmia detection using deep convolutional neural network with long duration ECG signals Ö Yıldırım, P Pławiak, RS Tan, UR Acharya Computers in biology and medicine 102, 411-420, 2018 | 769 | 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 | 748 | 2017 |
| Automated diagnosis of epileptic EEG using entropies UR Acharya, F Molinari, SV Sree, S Chattopadhyay, KH Ng, JS Suri Biomedical signal processing and control 7 (4), 401-408, 2012 | 728 | 2012 |
| EEG signal analysis: a survey DP Subha, PK Joseph, R Acharya U, CM Lim Journal of medical systems 34, 195-212, 2010 | 728 | 2010 |
| 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 | 663 | 2018 |
| ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya Future Generation Computer Systems 115, 279-294, 2021 | 643 | 2021 |
| Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis O Faust, UR Acharya, H Adeli, A Adeli Seizure 26, 56-64, 2015 | 599 | 2015 |
| 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 | 579 | 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 | 547 | 2018 |
