| Application of entropies for automated diagnosis of epilepsy using EEG signals: A review UR Acharya, H Fujita, VK Sudarshan, S Bhat, JEW Koh Knowledge-based systems 88, 85-96, 2015 | 519 | 2015 |
| A novel depression diagnosis index using nonlinear features in EEG signals UR Acharya, VK Sudarshan, H Adeli, J Santhosh, JEW Koh, ... European neurology 74 (1-2), 79-83, 2015 | 256 | 2015 |
| 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 |
| Computer-aided diagnosis of depression using EEG signals UR Acharya, VK Sudarshan, H Adeli, J Santhosh, JEW Koh, A Adeli European neurology 73 (5-6), 329-336, 2015 | 208 | 2015 |
| An integrated index for detection of sudden cardiac death using discrete wavelet transform and nonlinear features UR Acharya, H Fujita, VK Sudarshan, VS Sree, LWJ Eugene, DN Ghista, ... Knowledge-Based Systems 83, 149-158, 2015 | 149 | 2015 |
| 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 | 142 | 2017 |
| Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index H Fujita, UR Acharya, VK Sudarshan, DN Ghista, SV Sree, LWJ Eugene, ... Applied Soft Computing 43, 510-519, 2016 | 132 | 2016 |
| Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method UR Acharya, KS Vidya, DN Ghista, WJE Lim, F Molinari, ... Knowledge-based systems 81, 56-64, 2015 | 122 | 2015 |
| 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 | 114 | 2016 |
| Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals UR Acharya, VK Sudarshan, SQ Rong, Z Tan, CM Lim, JEW Koh, S Nayak, ... Computers in biology and medicine 85, 33-42, 2017 | 107 | 2017 |
| Application of wavelet techniques for cancer diagnosis using ultrasound images: a review VK Sudarshan, MRK Mookiah, UR Acharya, V Chandran, F Molinari, ... Computers in biology and medicine 69, 97-111, 2016 | 104 | 2016 |
| Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm UR Acharya, O Faust, F Molinari, SV Sree, SP Junnarkar, V Sudarshan Knowledge-Based Systems 75, 66-77, 2015 | 103 | 2015 |
| 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 | 92 | 2017 |
| Towards precision medicine: from quantitative imaging to radiomics UR Acharya, Y Hagiwara, VK Sudarshan, WY Chan, KH Ng Journal of Zhejiang University. Science. B 19 (1), 6, 2018 | 88 | 2018 |
| Future IoT tools for COVID‐19 contact tracing and prediction: a review of the state‐of‐the‐science V Jahmunah, VK Sudarshan, SL Oh, R Gururajan, R Gururajan, X Zhou, ... International journal of imaging systems and technology 31 (2), 455-471, 2021 | 85 | 2021 |
| Computer-aided diagnosis of myocardial infarction using ultrasound images with DWT, GLCM and HOS methods: a comparative study KS Vidya, EYK Ng, UR Acharya, SM Chou, R San Tan, DN Ghista Computers in biology and medicine 62, 86-93, 2015 | 82 | 2015 |
| Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals VK Sudarshan, UR Acharya, SL Oh, M Adam, JH Tan, CK Chua, KP Chua, ... Computers in biology and medicine 83, 48-58, 2017 | 80 | 2017 |
| Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals UR Acharya, H Fujita, VK Sudarshan, S Lih Oh, A Muhammad, JEW Koh, ... Neural Computing and Applications 28, 3073-3094, 2017 | 79 | 2017 |
| Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats UR Acharya, H Fujita, M Adam, OS Lih, TJ Hong, VK Sudarshan, ... 2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016 | 79 | 2016 |
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaVerified email at usq.edu.au
