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Sharut Gupta
Sharut Gupta
Mathematics and Computing, Indian Institute of Technology, Delhi
Verified email at iitd.ac.in - Homepage
Title
Cited by
Cited by
Year
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
832020
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), 2021
812021
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
212021
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
132020
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
82021
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications
D Koundal, S Gupta
Academic Press, 2020
72020
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
52020
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
arXiv preprint arXiv:2112.10074, 2021
42021
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, ...
International MICCAI Brainlesion Workshop, 228-240, 2020
42020
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, 2022
22022
QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty 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, ...
Journal of Machine Learning for Biomedical Imaging 1, 2022
22022
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
22020
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), 2022
12022
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
12020
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
2022
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
2022
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
2022
Federated Deep Learning Among Multiple Institutions for Automated Classification of Breast Density
K Chang, P Singh, W Li, H Roth, S Gupta, A Ihsani, N Neumark, BC Bizzo, ...
Society for Imaging Informatics in Medicine, 2020
2020
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