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Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
v1v2 (latest)

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge

3 November 2020
Lucas Fidon
Sebastien Ourselin
Tom Vercauteren
    OODMedIm
ArXiv (abs)PDFHTML

Papers citing "Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge"

6 / 6 papers shown
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
349
18
0
31 Dec 2023
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism
Li Zhu
Jiawei Jiang
Lin Lu
Jin Li
GANMedIm
209
1
0
17 Apr 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture
  of Stochastic Experts
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsInternational Conference on Learning Representations (ICLR), 2022
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
275
13
0
14 Dec 2022
A novel shape-based loss function for machine learning-based seminal
  organ segmentation in medical imaging
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging
Reza Karimzadeh
E. Fatemizadeh
H. Arabi
MedIm
122
22
0
07 Mar 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep
  Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma SegmentationMedical Physics (Lancaster) (Med. Phys.), 2022
Zhenyu Yang
Zongsheng Hu
H. Ji
Kyle J. Lafata
Scott Floyd
F. Yin
Cong Wang
204
22
0
01 Mar 2022
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
Lucas Fidon
Antonio Terpin
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Vercauteren
ViTMedIm
256
12
0
24 Dec 2021
1
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