Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net
neural networks: a BraTS 2020 challenge solution

Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

30 October 2020

Alexandre Carré

Marvin Lerousseau

Papers citing "Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution"

11 / 11 papers shown

Title
Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi Ahror Belaid Douraied BEN SALEM Pierre-Henri Conze MedIm 22 23 0 29 Jul 2023
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning F. Putz J. Grigo T. Weissmann P. Schubert D. Hoefler ... L. Distel S. Semrau Christoph Bert R. Fietkau Yixing Huang 8 18 0 16 Apr 2023
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans Haoran Li Cheng Li Weijian Huang Xiawu Zheng Yantao Xi Shanshan Wang MedIm 26 2 0 15 Nov 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation Zhenyu Yang Zongsheng Hu H. Ji Kyle J. Lafata Scott Floyd F. Yin C. Wang 24 14 0 01 Mar 2022
Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning Sauman Das AI4CE 11 6 0 12 Jan 2022
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning Partoo Vafaeikia M. Wagner U. Tabori B. Ertl-Wagner Farzad Khalvati 9 6 0 29 Nov 2021
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation Qiran Jia Hai Shu ViT MedIm 90 69 0 25 Sep 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 30 393 0 08 Feb 2021
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017