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Sukrit Gupta
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2020 – today
- 2024
- [j4]Tobias Pietz, Sukrit Gupta, Christoph N. Schlaffner, Saima Ahmed, Hanno Steen, Bernhard Y. Renard, Katharina Baum:
PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural networks. Bioinform. 40(Supplement_2): ii70-ii78 (2024) - [c7]Yi Hao Chan, Jun Liang Ang, Sukrit Gupta, Yinan He, Jagath C. Rajapakse:
Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks. ICASSP 2024: 2195-2199 - [i3]Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse:
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. CoRR abs/2405.00577 (2024) - 2021
- [j3]Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative:
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing 453: 326-336 (2021) - 2020
- [b1]Sukrit Gupta:
Studying functional connectome of the human brain. Nanyang Technological University, Singapore, 2020 - [j2]Satya Prakash Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás:
3D Deep Learning on Medical Images: A Review. Sensors 20(18): 5097 (2020) - [c6]Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse:
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. MLCN/RNO-AI@MICCAI 2020: 88-97 - [i2]Satya Prakash Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás:
3D Deep Learning on Medical Images: A Review. CoRR abs/2004.00218 (2020) - [i1]Satya Prakash Singh, Aimé Lay-Ekuakille, Deepak Gangwar, Madan Kumar Sharma, Sukrit Gupta:
Deep ConvLSTM with self-attention for human activity decoding using wearables. CoRR abs/2005.00698 (2020)
2010 – 2019
- 2019
- [c5]Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse:
Decoding Brain Functional Connectivity Implicated in AD and MCI. MICCAI (3) 2019: 781-789 - 2018
- [c4]Sukrit Gupta, Jagath C. Rajapakse:
Nodal degree distributions of resting-state functional brain modules. ISBI 2018: 1256-1259 - 2017
- [c3]Jagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui:
Fitting networks models for functional brain connectivity. ISBI 2017: 515-519 - 2016
- [c2]Sukrit Gupta, Rami Puzis, Konstantin Kilimnik:
Comparative Network Analysis Using KronFit. CompleNet 2016: 363-375 - 2015
- [j1]Keshav Goel, Rishi Ranjan Singh, Sudarshan Iyengar, Sukrit Gupta:
A Faster Algorithm to Update Betweenness Centrality After Node Alteration. Internet Math. 11(4-5): 403-420 (2015) - 2013
- [c1]Keshav Goel, Rishi Ranjan Singh, Sudarshan Iyengar, Sukrit Gupta:
A Faster Algorithm to Update Betweenness Centrality after Node Alteration. WAW 2013: 170-184
Coauthor Index
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