| 3D Deep Learning on Medical Images: A Review SP Singh, L Wang, S Gupta, H Goli, P Padmanabhan, B Gulyas Sensors 20 (Machine Learning for Biomedical Imaging), 2020 | 407 | 2020 |
| Deep ConvLSTM with self-attention for human activity decoding using wearable sensors SP Singh, MK Sharma, A Lay-Ekuakille, D Gangwar, S Gupta IEEE Sensors Journal 21 (6), 8575-8582, 2020 | 130 | 2020 |
| Shallow 3D CNN for detecting acute brain hemorrhage from medical imaging sensors SP Singh, L Wang, S Gupta, B Gulyas, P Padmanabhan IEEE Sensors Journal 21 (13), 14290-14299, 2020 | 88 | 2020 |
| A faster algorithm to update betweenness centrality after node alteration K Goel, RR Singh, S Iyengar, S Gupta Algorithms and Models for the Web Graph, 170-184, 2013 | 45* | 2013 |
| Decoding brain functional connectivity implicated in AD and MCI S Gupta, YH Chan, JC Rajapakse, ... International conference on medical image computing and computer-assisted …, 2019 | 18 | 2019 |
| Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot S Gupta, YH Chan, JC Rajapakse, ... Neurocomputing 453, 326-336, 2021 | 16 | 2021 |
| Ambivert degree identifies crucial brain functional hubs and improves detection of alzheimer’s disease and autism spectrum disorder S Gupta, JC Rajapakse, RE Welsch, ... NeuroImage: Clinical 25, 102186, 2020 | 15 | 2020 |
| Iterative consensus spectral clustering improves detection of subject and group level brain functional modules S Gupta, JC Rajapakse Scientific reports 10 (1), 7590, 2020 | 14 | 2020 |
| Functional mapping of the brain for brain–computer interfacing: A review SP Singh, S Mishra, S Gupta, P Padmanabhan, L Jia, TKA Colin, YT Tsai, ... Electronics 12 (3), 604, 2023 | 6 | 2023 |
| Fitting networks models for functional brain connectivity JC Rajapakse, S Gupta, X Sui 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 6 | 2017 |
| Decoding task states by spotting salient patterns at time points and brain regions YH Chan, S Gupta, LLC Kasun, JC Rajapakse Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 5 | 2020 |
| Decoding task specific and task general functional architectures of the brain S Gupta, M Lim, JC Rajapakse Human Brain Mapping 43 (9), 2801-2816, 2022 | 4 | 2022 |
| Nodal degree distributions of resting-state functional brain modules S Gupta, JC Rajapakse 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
| Comparative network analysis using KronFit G Sukrit, P Rami, K Konstantin Complex Networks VII: Proceedings of the 7th Workshop on Complex Networks …, 2016 | 3 | 2016 |
| Subtype-Specific Biomarkers of Alzheimer’s Disease from Anatomical and Functional Connectomes via Graph Neural Networks YH Chan, JL Ang, S Gupta, Y He, JC Rajapakse ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review YH Chan, D Girish, S Gupta, J Xia, C Kasi, Y He, C Wang, JC Rajapakse arXiv preprint arXiv:2405.00577, 2024 | | 2024 |
| Sparse deep neural network for encoding and decoding the structural connectome SP Singh, S Gupta, JC Rajapakse IEEE Journal of Translational Engineering in Health and Medicine, 2024 | | 2024 |
| PEPerMINT: Peptide Abundance Imputation in Mass Spectrometry-based Proteomics using Graph Neural Networks T Pietz, S Gupta, CN Schlaffner, S Ahmed, H Steen, BY Renard, K Baum bioRxiv, 2024.03. 23.586248, 2024 | | 2024 |
| Studying functional connectome of the human brain S Gupta Nanyang Technological University, 2020 | | 2020 |
