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Towards fully automated deep-learning-based brain tumor segmentation: is
  brain extraction still necessary?

Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?

14 December 2022
Bruno Machado Pacheco
G. Cassia
Danilo Silva
    3DV
ArXivPDFHTML

Papers citing "Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?"

12 / 12 papers shown
Title
nnU-Net for Brain Tumor Segmentation
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
59
295
0
02 Nov 2020
Modality-Pairing Learning for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Yixin Wang
Yao Zhang
Feng Hou
Yang Liu
Jiang Tian
Cheng Zhong
Yang Zhang
Zhiqiang He
113
67
0
19 Oct 2020
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
58
483
0
31 Jan 2019
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
109
1,623
0
05 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
74
1,037
0
27 Oct 2018
No New-Net
No New-Net
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
SSeg
65
396
0
27 Sep 2018
Breast Tumor Segmentation and Shape Classification in Mammograms using
  Generative Adversarial and Convolutional Neural Network
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
V. Singh
Hatem A. Rashwan
S. Romaní
Farhan Akram
Nidhi Pandey
...
Adel Saleh
M. Arenas
Miguel Arquez
D. Puig
J. Torrents-Barrena
MedIm
GAN
39
185
0
05 Sep 2018
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor
  Segmentation
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Yijie Huang
Qi Dou
Zixian Wang
Li-Zhi Liu
Ying Jin
Chaozhuo Li
Lisheng Wang
Hao Chen
R. Xu
24
57
0
27 Jun 2018
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
133
6,483
0
21 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
112
3,049
0
18 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Brain Tumor Segmentation with Deep Neural Networks
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
97
2,869
0
13 May 2015
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