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Generalized Wasserstein Dice Loss, Test-time Augmentation, and
  Transformers for the BraTS 2021 challenge

Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge

24 December 2021
Lucas Fidon
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Vercauteren
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge"

8 / 8 papers shown
Title
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Lucas Fidon
Michael Aertsen
Nada Mufti
Thomas Deprest
Doaa Emam
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Vercauteren
OOD
62
22
0
09 Aug 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation
  and Radiogenomic Classification
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Ujjwal Baid
S. Ghodasara
S. Mohan
Michel Bilello
Evan Calabrese
...
M. Weber
A. Mahajan
Bjoern Menze
Adam Flanders
Spyridon Bakas
136
632
0
05 Jul 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning
  of Deep Neural Networks
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon
Jeongseop Kim
Hyunseong Park
I. Choi
86
290
0
23 Feb 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
187
1,349
0
03 Oct 2020
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
133
1,633
0
05 Nov 2018
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
117
2,146
0
11 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
3DV
93
339
0
06 Jul 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,613
0
06 Feb 2015
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