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Mishka Gidwani
Mishka Gidwani
Graduate Student
Verified email at case.edu
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Year
An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction
B Lou, S Doken, T Zhuang, D Wingerter, M Gidwani, N Mistry, L Ladic, ...
The Lancet Digital Health 1 (3), e136-e147, 2019
1222019
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
1132020
Phenotypic switch in blood: effects of pro-inflammatory cytokines on breast cancer cell aggregation and adhesion
Y Geng, S Chandrasekaran, JW Hsu, M Gidwani, AD Hughes, MR King
PloS one 8 (1), e54959, 2013
852013
Assessing the (Un) Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ...
arXiv preprint arXiv:2008.02766, 2020
812020
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
142020
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
9*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
82021
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
doi. org/10.1148/ryai 2020200079, 0
7
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
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
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
An emergent role for radiomic decision support in lung cancer
GA Kuzmin, M Gidwani, T Ma, T Zhuang, ME Abazeed
1*
Data Curation Challenges for Artificial Intelligence
K Chang, M Gidwani, JB Patel, MD Li, J Kalpathy-Cramer
Auto-Segmentation for Radiation Oncology, 201-216, 2021
2021
14 Data Curation Challenges
K Chang, M Gidwani, JB Patel, MD Li, J Kalpathy-Cramer
Auto-Segmentation for Radiation Oncology: State of the Art, 201, 2021
2021
Abstract PO-026: Convolutional neural network assessment of immune activation state of brain metastases
M Gidwani, A Kim, ER Gerstner, J Kalpathy-Cramer
Clinical Cancer Research 27 (5 Supplement), PO-026-PO-026, 2021
2021
Radiomics and Radiogenomics with Deep Learning in Neuro-oncology
J Patel, M Gidwani, K Chang, J Kalpathy-Cramer
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
2020
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
2020
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Articles 1–19