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

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

19 December 2021
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
Michael Rebsamen
K. Datwyler
Raphael Meier
Piotr Radojewski
G. Murugesan
S. Nalawade
Chandan Ganesh
B. Wagner
F. Yu
B. Fei
A. Madhuranthakam
J. Maldjian
Laura Alexandra Daza
C. Tobon-Gomez
Pablo Arbelaez
Chengliang Dai
Shuo Wang
Hadrien Raynaud
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
Subhashis Banerjee
Linmin Pei
A. Murat
Sarahi Rosas-González
Illyess Zemmoura
C. Tauber
Minh H. Vu
T. Nyholm
Tommy Löfstedt
Laura Mora Ballestar
Verónica Vilaplana
Hugh McHugh
G. M. Talou
Alan Wang
J. Patel
Ken Chang
K. Hoebel
M. Gidwani
N. Arun
Sharut Gupta
M. 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 Llado
A. Oliver
Liliana Valencia
Sergi Valverde
Mehdi Amian
Mohammadreza Soltaninejad
Andriy Myronenko
Ali Hatamizadeh
Xuejing Feng
Q. Dou
Nicholas J. Tustison
Craig Meyer
Nisarg A. Shah
Sanjay Talbar
M. Weber
A. Mahajan
Andras Jakab
Roland Wiest
Hassan M. Fathallah-Shaykh
A. Nazeri
Mikhail Milchenko
Daniel S. Marcus
Aikaterini Kotrotsou
Rivka Colen
John Freymann
J. Kirby
Christos Davatzikos
Bjoern Menze
Spyridon Bakas
Y. Gal
Tal Arbel
    UQCV
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Papers citing "QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results"

1 / 51 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
800
9,302
0
06 Jun 2015
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