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Sharut Gupta
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Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging
N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ...
Radiology: Artificial Intelligence 3 (6), e200267, 2021
2432021
Federated learning for breast density classification: A real-world implementation
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
2102020
Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
M Sangare, S Gupta, S Bouzefrane, S Banerjee, P Muhlethaler
Expert Systems with Applications 167, 113855, 2021
512021
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
The journal of machine learning for biomedical imaging 2022, 2022
452022
Domain adaptation and representation transfer, and distributed and collaborative learning
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Lecture Notes in Computer Science, 2020
212020
Addressing catastrophic forgetting for medical domain expansion
S Gupta, P Singh, K Chang, L Qu, M Aggarwal, N Arun, A Vaswani, ...
arXiv preprint arXiv:2103.13511, 2021
192021
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
F Varno, M Saghayi, LR Sevyeri, S Gupta, S Matwin, M Havaei
European Conference on Computer Vision (ECCV), 2022
172022
FL Games: A federated learning framework for distribution shifts
S Gupta, K Ahuja, M Havaei, N Chatterjee, Y Bengio
arXiv preprint arXiv:2205.11101, 2022
162022
Improvement and multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19
MD Li, NT Arun, M Aggarwal, S Gupta, P Singh, BP Little, DP Mendoza, ...
MedRxiv, 2020.09. 15.20195453, 2020
152020
Structuring representation geometry with rotationally equivariant contrastive learning
S Gupta, J Robinson, D Lim, S Villar, S Jegelka
The Twelfth International Conference on Learning Representations, 2024
142024
Collaborative privacy-preserving approaches for distributed deep learning using multi-institutional data
S Gupta, S Kumar, K Chang, C Lu, P Singh, J Kalpathy-Cramer
RadioGraphics 43 (4), e220107, 2023
142023
Segmentation, survival prediction, and uncertainty estimation of gliomas from multimodal 3D MRI using selective kernel networks
J Patel, K Chang, K Hoebel, M Gidwani, N Arun, S Gupta, M Aggarwal, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
122021
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19
MD Li, NT Arun, M Aggarwal, S Gupta, P Singh, BP Little, DP Mendoza, ...
Medicine 101 (29), e29587, 2022
102022
Computational techniques in biomedical image analysis: overview
D Koundal, V Kadyan, P Dutta, V Anand, S Aggarwal, S Gupta
Advances in Computational Techniques for Biomedical Image Analysis, 3-31, 2020
102020
Minimizing client drift in federated learning via adaptive bias estimation
F Varno, M Saghayi, L Rafiee, S Gupta, S Matwin, M Havaei
arXiv preprint arXiv:2204.13170 12, 2022
82022
Profiling fake news spreaders on twitter: a clickbait and linguistic feature based scheme
R Agarwal, S Gupta, N Chatterjee
International Conference on Applications of Natural Language to Information …, 2022
62022
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications
D Koundal, S Gupta
Academic Press, 2020
62020
Context is Environment
S Gupta, S Jegelka, D Lopez-Paz, K Ahuja
The Twelfth International Conference on Learning Representations, 2024
52024
Towards trainable saliency maps in medical imaging
M Aggarwal, N Arun, S Gupta, A Vaswani, B Chen, M Li, K Chang, J Patel, ...
arXiv preprint arXiv:2011.07482, 2020
52020
The unreasonable effectiveness of batch-norm statistics in addressing catastrophic forgetting across medical institutions
S Gupta, P Singh, K Chang, M Aggarwal, N Arun, L Qu, K Hoebel, J Patel, ...
arXiv preprint arXiv:2011.08096, 2020
32020
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