Search Results - Sharut Gupta
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Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging by Nishanth Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay Patel, Mishka Gidwani, Julius Adebayo, Matthew Li, Jayashree Kalpathy‐Cramer
Published 2021Artigo -
2
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19 by Matthew Li, Nishanth Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little, Dexter P. Mendoza, Gustavo C.A. Corradi, Marcelo S. Takahashi, Suely Fazio Ferraciolli, Marc D. Succi, Min Lang, Bernardo C. Bizzo, Ittai Dayan, Felipe Kitamura, Jayashree Kalpathy‐Cramer
Published 2020Pré-impressão -
3
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19 by Matthew Li, Nishanth Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little, Dexter P. Mendoza, Gustavo C.A. Corradi, Marcelo S. Takahashi, Suely Fazio Ferraciolli, Marc D. Succi, Min Lang, Bernardo C. Bizzo, Ittai Dayan, Felipe Kitamura, Jayashree Kalpathy‐Cramer
Published 2022Artigo -
4
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results by Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Reynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy‐Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Dou Quan, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc‐André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah‐Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel C. Marcus, Aikaterini Kotrotsou, Rivka R. Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
Published 2022Artigo
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Artificial intelligence
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Chest radiograph
Coronavirus disease 2019 (COVID-19)
Deep learning
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Generalizability theory
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Radiography
Radiology
Segmentation
2019-20 coronavirus outbreak
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