Mishka Gidwani - Concepedia

Author

Mishka Gidwani

Athinoula A. Martinos Center for Biomedical Imaging ORCID

Also Known As

Gidwani, Mishka, Mishka Gidwani

Publications

904

Citations

H-Index

Concepts

All Affiliations

Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard University Massachusetts Institute of Technology Shiv Nadar University

About

Mishka Gidwani is an author at Athinoula A. Martinos Center for Biomedical Imaging specializing in medical image computing, medical imaging, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	90
2	Medicine	2	2	49
3	Biostatistics	2	2	58
4	Data Science	2	2	58
5	Health Sciences	1	1	41

Mishka Gidwani

Publications

857

Citations

H-Index

Page 1

	Year	Citations
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, Radiology Artificial Intelligence	2021	247
An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction Bin Lou, Semihcan Doken, Tingliang Zhuang, The Lancet Digital Health	2019	193
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks Matthew Li, Nishanth Arun, Mishka Gidwani, Radiology Artificial Intelligence	2020	155
Phenotypic Switch in Blood: Effects of Pro-Inflammatory Cytokines on Breast Cancer Cell Aggregation and Adhesion Yue Geng, Siddarth Chandrasekaran, Jong‐Wei Hsu, PLoS ONE	2013	79
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results Raghav Mehta, Angelos Filos, Ujjwal Baid, The Journal of Machine Learning for Biomedical Imaging	2022	46
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, EngineeringMachine LearningDiagnostic ImagingImage ClassificationImage Analysis	2020	41
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks Matthew Li, Nishanth Arun, Mishka Gidwani, EngineeringMedical ImagingDeep LearningCovid-19External Test Sets	2020	32
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models Mishka Gidwani, Ken Chang, Jay Patel, Radiology	2022	28
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, arXiv (Cornell University)	2020	19
Assessing the validity of saliency maps for abnormality localization in medical imaging Nishanth Arun, Nathan Gaw, Praveer Singh, arXiv (Cornell University) EngineeringMachine LearningRsna Pneumonia DatasetDiagnostic ImagingImage Classification	2020	17

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