| 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 | 261 | 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 | 53 | 2022 |
| MedRxiv Y Li, Z Xie, W Lin, W Cai, C Wen, Y Guan, X Mo, J Wang, Y Wang, P Peng, ... | 35 | 2020 |
| 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 | 20 | 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 |
| 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 | 13 | 2021 |
| Assessing the (Un) Trustworthiness of saliency maps for localizing abnormalities in medical imaging. arXiv N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen arXiv preprint arXiv:2008.02766, 2020 | 12 | 2020 |
| 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 | 11 | 2022 |
| 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 | 5 | 2020 |
| 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 |
| A Fuzzy Model for Evaluating the Maintainability of Object Oriented System Using MOOD Metrics G Kaur, M Aggarwal | 1 | 2014 |
| Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion S Gupta, K Chang, L Qu, A Rana, SR Ahmed, M Aggarwal, N Arun, ... International Workshop on Personalized Incremental Learning in Medicine, 57-72, 2024 | | 2024 |
