| 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 | 57 | 2020 |
| B-scan attentive CNN for the classification of retinal optical coherence tomography volumes V Das, E Prabhakararao, S Dandapat, PK Bora IEEE Signal Processing Letters 27, 1025-1029, 2020 | 34 | 2020 |
| Multi-scale convolutional neural network ensemble for multi-class arrhythmia classification E Prabhakararao, S Dandapat IEEE Journal of Biomedical and Health Informatics 26 (8), 3802-3812, 2021 | 25 | 2021 |
| A weighted SVM based approach for automatic detection of posterior myocardial infarction using VCG signals E Prabhakararao, S Dandapat 2019 National conference on communications (NCC), 1-6, 2019 | 24 | 2019 |
| Automated detection of posterior myocardial infarction from VCG signals using stationary wavelet transform based features E Prabhakararao, S Dandapat IEEE Sensors Letters 4 (6), 1-4, 2020 | 23 | 2020 |
| On the use of variational mode decomposition for removal of baseline wander in ECG signals E Prabhakararao, MS Manikandan 2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016 | 21 | 2016 |
| Attentive RNN-based network to fuse 12-lead ECG and clinical features for improved myocardial infarction diagnosis E Prabhakararao, S Dandapat IEEE Signal Processing Letters 27, 2029-2033, 2020 | 14 | 2020 |
| Efficient and robust ventricular tachycardia and fibrillation detection method for wearable cardiac health monitoring devices E Prabhakararao, MS Manikandan Healthcare technology letters 3 (3), 239-246, 2016 | 12 | 2016 |
| Atrial fibrillation burden estimation using multi-task deep convolutional neural network E Prabhakararao, S Dandapat IEEE Journal of Biomedical and Health Informatics 26 (12), 5992-6002, 2022 | 8 | 2022 |
| Automatic quality estimation of 12-lead ECG for remote healthcare monitoring systems E Prabhakararao, S Dandapat 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2018 | 6 | 2018 |
| Multiscale convolutional neural network for detecting paroxysmal atrial fibrillation from single lead ECG signals E Prabhakararao, S Dandapat 2020 IEEE Applied Signal Processing Conference (ASPCON), 339-343, 2020 | 5 | 2020 |
| Detection of life-threatening arrhythmias using random noise and zerocrossing information E Prabhakararao, MS Manikandan 2016 International Conference on Wireless Communications, Signal Processing …, 2016 | 3 | 2016 |
| Congestive heart failure detection from ecg signals using deep residual neural network E Prabhakararao, S Dandapat IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (5), 3008-3018, 2022 | 1 | 2022 |
| Multi-Label ECG Classification using Temporal Convolutional Neural Network E Prabhakararao, S Dandapt arXiv preprint arXiv:2306.03844, 2023 | | 2023 |
| Automated Diagnosis of Cardiac Disorders from Electrocardiogram Signals using Deep Learning E Prabhakararao Guwahati, 2023 | | 2023 |
| Biomedical Signal Processing Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal … S Mukherjee, C Gonzalez-Gomez, L Danglot, T Lagache, JC Olivo-Marin, ... | | |
Samarendra DandapatProfessor, IIT GuwahatiVerified email at iitg.ernet.in
