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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results



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 F. Yu , Baowei Fei , Ananth J. Madhuranthakam , Joseph A. Maldjian , Laura Daza , Catalina Gómez , Pablo Arbeláez , Chengliang Dai , Shuo Wang , Hadrien Raynaud , Yuanhan Mo , Elsa Angelini , Yike Guo , Wenjia Bai , Subhashis Banerjee , Linmin Pei , Murat AK , Sarahi Rosas-González , Illyess Zemmoura , Clovis Tauber , Minh H. Vu , Tufve Nyholm , Tommy Löfstedt , Laura Mora Ballestar , Veronica Vilaplana , Hugh McHugh , Gonzalo 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 , Elodie Puybareau , Guillaume Tochon , Jun Ma , Mariano Cabezas , Xavier Llado , Arnau Oliver , Liliana Valencia , Sergi Valverde , Mehdi Amian , Mohammadreza Soltaninejad , Andriy Myronenko , Ali Hatamizadeh , Xue Feng , Quan Dou , Nicholas Tustison , Craig Meyer , Nisarg A. Shah , Sanjay Talbar , Marc-Andr Weber , Abhishek Mahajan , Andras Jakab , Roland Wiest , Hassan M. Fathallah-Shaykh , Arash Nazeri , Mikhail Milchenko , Daniel Marcus , Aikaterini Kotrotsou , Rivka Colen , John Freymann , Justin Kirby , Christos Davatzikos , Bjoern Menze , Spyridon Bakas , Yarin Gal , Tal Arbel

* Under submission at MELBA journal 

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Addressing catastrophic forgetting for medical domain expansion



Sharut Gupta , Praveer Singh , Ken Chang , Liangqiong Qu , Mehak Aggarwal , Nishanth Arun , Ashwin Vaswani , Shruti Raghavan , Vibha Agarwal , Mishka Gidwani , Katharina Hoebel , Jay Patel , Charles Lu , Christopher P. Bridge , Daniel L. Rubin , Jayashree Kalpathy-Cramer

* First three authors contributed equally 

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The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions



Sharut Gupta , Praveer Singh , Ken Chang , Mehak Aggarwal , Nishanth Arun , Liangqiong Qu , Katharina Hoebel , Jay Patel , Mishka Gidwani , Ashwin Vaswani , Daniel L Rubin , Jayashree Kalpathy-Cramer

* Accepted as oral presentation in Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract ; 6 pages and 4 figures 

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Towards Trainable Saliency Maps in Medical Imaging



Mehak Aggarwal , Nishanth Arun , Sharut Gupta , Ashwin Vaswani , Bryan Chen , Matthew Li , Ken Chang , Jay Patel , Katherine Hoebel , Mishka Gidwani , Jayashree Kalpathy-Cramer , Praveer Singh

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging



Nishanth Arun , Nathan Gaw , Praveer Singh , Ken Chang , Mehak Aggarwal , Bryan Chen , Katharina Hoebel , Sharut Gupta , Jay Patel , Mishka Gidwani , Julius Adebayo , Matthew D. Li , Jayashree Kalpathy-Cramer

* Submitted to Nature Machine Intelligence. First four authors contributed equally to this work 

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Assessing the validity of saliency maps for abnormality localization in medical imaging



Nishanth Thumbavanam Arun , Nathan Gaw , Praveer Singh , Ken Chang , Katharina Viktoria Hoebel , Jay Patel , Mishka Gidwani , Jayashree Kalpathy-Cramer


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