| 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 | 649 | 2020 |
| 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 | 282 | 2019 |
| Brain functional connectivity patterns for emotional state classification in Parkinson’s disease patients without dementia R Yuvaraj, M Murugappan, UR Acharya, H Adeli, NM Ibrahim, E Mesquita Behavioural brain research 298, 248-260, 2016 | 178 | 2016 |
| 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 | 168 | 2018 |
| Review of emotion recognition in stroke patients R Yuvaraj, M Murugappan, MI Norlinah, K Sundaraj, M Khairiyah Dementia and geriatric cognitive disorders 36 (3-4), 179-196, 2013 | 124 | 2013 |
| On the analysis of EEG power, frequency and asymmetry in Parkinson’s disease during emotion processing R Yuvaraj, M Murugappan, N Mohamed Ibrahim, M Iqbal Omar, ... Behavioral and brain functions 10, 1-19, 2014 | 123 | 2014 |
| Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals SZ Bong, K Wan, M Murugappan, NM Ibrahim, Y Rajamanickam, ... Biomedical signal processing and control 36, 102-112, 2017 | 100 | 2017 |
| Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity R Yuvaraj, M Murugappan, NM Ibrahim, K Sundaraj, MI Omar, ... Biomedical Signal Processing and Control 14, 108-116, 2014 | 88 | 2014 |
| Automated detection of interictal epileptiform discharges from scalp electroencephalograms by convolutional neural networks J Thomas, J Jin, P Thangavel, E Bagheri, R Yuvaraj, J Dauwels, ... International journal of neural systems 30 (11), 2050030, 2020 | 79 | 2020 |
| Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease R Yuvaraj, M Murugappan, NM Ibrahim, K Sundaraj, MI Omar, ... International Journal of Psychophysiology 94 (3), 482-495, 2014 | 75 | 2014 |
| EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning MN Dar, MU Akram, R Yuvaraj, SG Khawaja, M Murugappan Computers in biology and medicine 144, 105327, 2022 | 53 | 2022 |
| Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study R Yuvaraj, M Murugappan, NM Ibrahim, MI Omar, K Sundaraj, ... Journal of integrative neuroscience 13 (01), 89-120, 2014 | 52 | 2014 |
| Hemispheric asymmetry non-linear analysis of EEG during emotional responses from idiopathic Parkinson’s disease patients R Yuvaraj, M Murugappan Cognitive neurodynamics 10, 225-234, 2016 | 48 | 2016 |
| Diagnosis of Parkinson's disease from electroencephalography signals using linear and self‐similarity features AA Bhurane, S Dhok, M Sharma, R Yuvaraj, M Murugappan, UR Acharya Expert Systems 39 (7), e12472, 2022 | 45 | 2022 |
| Automated adult epilepsy diagnostic tool based on interictal scalp electroencephalogram characteristics: A six-center study J Thomas, P Thangavel, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (05), 2050074, 2021 | 43 | 2021 |
| Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings R Yuvaraj, P Thagavel, J Thomas, J Fogarty, F Ali Sensors 23 (2), 915, 2023 | 42 | 2023 |
| A deep learning scheme for automatic seizure detection from long-term scalp EEG R Yuvaraj, J Thomas, T Kluge, J Dauwels 2018 52nd Asilomar conference on signals, systems, and computers, 368-372, 2018 | 36 | 2018 |
| Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach R Bajpai, R Yuvaraj, AA Prince Computers in Biology and Medicine 133, 104434, 2021 | 33 | 2021 |
| Bispectral features and mean shift clustering for stress and emotion recognition from natural speech CK Yogesh, M Hariharan, R Yuvaraj, R Ngadiran, S Yaacob, K Polat Computers & Electrical Engineering 62, 676-691, 2017 | 33 | 2017 |
| Time–frequency decomposition of scalp electroencephalograms improves deep learning-based epilepsy diagnosis P Thangavel, J Thomas, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (08), 2150032, 2021 | 32 | 2021 |
M MurugappanProfessor, Kuwait College of Science and TechnologyVerified email at kcst.edu.kw
