| 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 | 259 | 2021 |
| Automated assessment and tracking of COVID-19 pulmonary disease severity on chest radiographs using convolutional siamese neural networks MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... Radiology: Artificial Intelligence 2 (4), e200079, 2020 | 138 | 2020 |
| Multi-institutional assessment and crowdsourcing evaluation of deep learning for automated classification of breast density K Chang, AL Beers, L Brink, JB Patel, P Singh, NT Arun, KV Hoebel, ... Journal of the American College of Radiology 17 (12), 1653-1662, 2020 | 52 | 2020 |
| 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 | 51 | 2022 |
| Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... MedRxiv, 2020.05. 20.20108159, 2020 | 39 | 2020 |
| MedRxiv Y Li, Z Xie, W Lin, W Cai, C Wen, Y Guan, X Mo, J Wang, Y Wang, P Peng, ... | 35 | 2020 |
| Assessing the validity of saliency maps for abnormality localization in medical imaging NT Arun, N Gaw, P Singh, K Chang, KV Hoebel, J Patel, M Gidwani, ... arXiv preprint arXiv:2006.00063, 2020 | 27 | 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 |
| Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiology: Artificial Intelligence … MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... doi. org/10.1148/ryai 2020200079, 0 | 9 | |
| 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 |
| Clinical deployment and validation of a radiology artificial intelligence system for COVID-19 B Hashemian, A Manchanda, MD Li, P Farzam, SD Dash, A Ihsan, J Guan, ... | 3 | 2020 |
| Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks N Arun, P Singh, J Wang, AV Segre, JL Wiggs, B Cole, J Kalpathy-Cramer, ... Investigative Ophthalmology & Visual Science 62 (8), 1034-1034, 2021 | 2 | 2021 |
| Multi-Class Bayesian Segmentation of Robotically Acquired Ultrasound Enabling 3D Site Selection along Femoral Vessels for Planning Safer Needle Insertion E Chen, FNU Abhimanyu, A Bal, NT Arun, A Schoenling, J Yoon, K Kwofie, ... | 2 | |
| Automated detection of genetic relatedness from fundus photographs using Siamese Neural Networks SM Bhandari, P Singh, N Arun, S Sekimitsu, V Raghu, FG Rauscher, ... medRxiv, 2023.08. 16.23294183, 2023 | 1 | 2023 |
| Temporal Monte Carlo Dropout for Robust Uncertainty Quantification: Application to Point-of-Care Ultrasound-guided Nerve Blocks NT Arun, L Weiss, A Schoenling, M Radomski, F Guyette, N Roux, ... Medical Imaging with Deep Learning, short paper track, 2023 | 1 | 2023 |
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.edu
