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Nishanth Arun
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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
2192021
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
1282020
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
472020
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
402022
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
382020
MedRxiv
Y Li, Z Xie, W Lin, W Cai, C Wen, Y Guan, X Mo, J Wang, Y Wang, P Peng, ...
342020
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
232020
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
182021
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
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
112021
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
92022
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
92020
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
42020
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
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, ...
32020
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
22021
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
12023
Assessing the validity of saliency maps for abnormality localization in medical imaging
N Thumbavanam Arun, N Gaw, P Singh, K Chang, K Viktoria Hoebel, ...
arXiv e-prints, arXiv: 2006.00063, 2020
12020
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, ...
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