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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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Sub-cortical structure segmentation database for young population



Jayanthi Sivaswamy , Alphin J Thottupattu , Mythri V , Raghav Mehta , R Sheelakumari , Chandrasekharan Kesavadas


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Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation



Brennan Nichyporuk , Jillian Cardinell , Justin Szeto , Raghav Mehta , Sotirios Tsaftaris , Douglas L. Arnold , Tal Arbel

* Accepted at DART 2021 

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HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images



Saverio Vadacchino , Raghav Mehta , Nazanin Mohammadi Sepahvand , Brennan Nichyporuk , James J. Clark , Tal Arbel

* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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Uncertainty Evaluation Metric for Brain Tumour Segmentation



Raghav Mehta , Angelos Filos , Yarin Gal , Tal Arbel


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RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours



Raghav Mehta , Tal Arbel

* Accepted at Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 

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To Learn or Not to Learn Features for Deformable Registration?



Aabhas Majumdar , Raghav Mehta , Jayanthi Sivaswamy

* 9 pages, 4 figures 

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