| Multiscale energy and eigenspace approach to detection and localization of myocardial infarction LN Sharma, RK Tripathy, S Dandapat IEEE transactions on biomedical engineering 62 (7), 1827-1837, 2015 | 313 | 2015 |
| Wavelet energy based diagnostic distortion measure for ECG MS Manikandan, S Dandapat Biomedical Signal Processing and Control 2 (2), 80-96, 2007 | 169 | 2007 |
| Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review MS Manikandan, S Dandapat Biomedical Signal Processing and Control 14, 73-107, 2014 | 147 | 2014 |
| ECG signal denoising using higher order statistics in Wavelet subbands LN Sharma, S Dandapat, A Mahanta Biomedical Signal Processing and Control 5 (3), 214-222, 2010 | 138 | 2010 |
| Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM MS Manikandan, S Dandapat Biomedical Signal Processing and Control 1 (4), 261-270, 2006 | 132 | 2006 |
| Detection of shockable ventricular arrhythmia using variational mode decomposition RK Tripathy, LN Sharma, S Dandapat Journal of medical systems 40, 1-13, 2016 | 127 | 2016 |
| Sinusoidal model-based analysis and classification of stressed speech S Ramamohan, S Dandapat IEEE Transactions on audio, speech, and language processing 14 (3), 737-746, 2006 | 125 | 2006 |
| Third-order tensor based analysis of multilead ECG for classification of myocardial infarction S Padhy, S Dandapat Biomedical Signal Processing and Control 31, 71-78, 2017 | 122 | 2017 |
| Multichannel ECG data compression based on multiscale principal component analysis LN Sharma, S Dandapat, A Mahanta IEEE Transactions on Information technology in Biomedicine 16 (4), 730-736, 2012 | 120 | 2012 |
| Multi-scale deep feature fusion for automated classification of macular pathologies from OCT images V Das, S Dandapat, PK Bora Biomedical signal processing and Control 54, 101605, 2019 | 107 | 2019 |
| Multilead ECG data compression using SVD in multiresolution domain S Padhy, LN Sharma, S Dandapat Biomedical signal processing and control 23, 10-18, 2016 | 78 | 2016 |
| Emotion classification using segmentation of vowel-like and non-vowel-like regions S Deb, S Dandapat IEEE Transactions on Affective Computing 10 (3), 360-373, 2017 | 77 | 2017 |
| Myocardial infarction severity stages classification from ECG signals using attentional recurrent neural network E Prabhakararao, S Dandapat IEEE Sensors Journal 20 (15), 8711-8720, 2020 | 75 | 2020 |
| An effective fovea detection and automatic assessment of diabetic maculopathy in color fundus images JP Medhi, S Dandapat Computers in biology and medicine 74, 30-44, 2016 | 66 | 2016 |
| Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression MS Manikandan, S Dandapat Biomedical Signal Processing and Control 3 (1), 44-66, 2008 | 65 | 2008 |
| Unsupervised super-resolution of OCT images using generative adversarial network for improved age-related macular degeneration diagnosis V Das, S Dandapat, PK Bora IEEE Sensors Journal 20 (15), 8746-8756, 2020 | 62 | 2020 |
| Multiscale amplitude feature and significance of enhanced vocal tract information for emotion classification S Deb, S Dandapat IEEE transactions on cybernetics 49 (3), 802-815, 2018 | 62 | 2018 |
| An LSTM-based model for person identification using ECG signal D Jyotishi, S Dandapat IEEE Sensors Letters 4 (8), 1-4, 2020 | 61 | 2020 |
| Analysis and classification of cold speech using variational mode decomposition S Deb, S Dandapat, J Krajewski IEEE transactions on affective computing 11 (2), 296-307, 2017 | 56 | 2017 |
| Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning A Shankar, HK Khaing, S Dandapat, S Barma Biomedical Signal Processing and Control 69, 102854, 2021 | 53 | 2021 |
