| 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 | 200 | 2021 |
| 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 | 175 | 2020 |
| 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 | 38 | 2021 |
| 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 | 32 | 2022 |
| 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 | 15 | 2021 |
| 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 | 15 | 2020 |
| 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 | 13 | 2022 |
| 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 | 13 | 2020 |
| 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 | 11 | 2021 |
| 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 | 10 | 2020 |
| 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 | 9 | 2023 |
| 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 | 9 | 2022 |
| 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 | 8 | 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 | 7 | 2022 |
| Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications D Koundal, S Gupta Academic Press, 2020 | 6 | 2020 |
| 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 | 5 | 2022 |
| 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, 2023 | 4 | 2023 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| Context is Environment S Gupta, S Jegelka, D Lopez-Paz, K Ahuja The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.edu
