| 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 | 1540 | 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 | 1266 | 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 | 984 | 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 | 898 | 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 | 723 | 2017 |
| 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 | 559 | 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 | 531 | 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 | 356 | 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 | 298 | 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 | 287 | 2018 |
| 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 | 241 | 2019 |
| 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 | 227 | 2017 |
| Automated seizure prediction UR Acharya, Y Hagiwara, H Adeli Epilepsy & Behavior 88, 251-261, 2018 | 173 | 2018 |
| Parkinson's disease: Cause factors, measurable indicators, and early diagnosis S Bhat, UR Acharya, Y Hagiwara, N Dadmehr, H Adeli Computers in biology and medicine 102, 234-241, 2018 | 170 | 2018 |
| 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 | 169 | 2018 |
| Computer-aided diagnosis of glaucoma using fundus images: A review Y Hagiwara, JEW Koh, JH Tan, SV Bhandary, A Laude, EJ Ciaccio, ... Computer methods and programs in biomedicine 165, 1-12, 2018 | 162 | 2018 |
| Age-related macular degeneration detection using deep convolutional neural network JH Tan, SV Bhandary, S Sivaprasad, Y Hagiwara, A Bagchi, ... Future Generation Computer Systems 87, 127-135, 2018 | 150 | 2018 |
| A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals R Yuvaraj, U Rajendra Acharya, Y Hagiwara Neural Computing and Applications 30, 1225-1235, 2018 | 150 | 2018 |
| 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 | 134 | 2017 |
| Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images UR Acharya, U Raghavendra, H Fujita, Y Hagiwara, JEW Koh, TJ Hong, ... Computers in biology and medicine 79, 250-258, 2016 | 111 | 2016 |
Rajendra AcharyaProfessor of Artificial Intelligence in Healthcare, University of Southern Queensland, AustraliaE-mail confirmado em usq.edu.au
