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Global Planar Convolutions for improved context aggregation in Brain
  Tumor Segmentation

Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation

27 August 2019
Santi Puch
Irina Sánchez
Aura Hernández
Gemma Piella
V. Prčkovska
    3DV
ArXivPDFHTML

Papers citing "Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation"

11 / 11 papers shown
Title
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
128
1,628
0
05 Nov 2018
Ensembles of Multiple Models and Architectures for Robust Brain Tumour
  Segmentation
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas
Wenjia Bai
Enzo Ferrante
Jingyu Sun
Matthew Sinclair
...
Martin Rajchl
Matthew C. H. Lee
Bernhard Kainz
Daniel Rueckert
Ben Glocker
3DV
AAML
OOD
67
436
0
04 Nov 2017
Large Kernel Matters -- Improve Semantic Segmentation by Global
  Convolutional Network
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng
Xiangyu Zhang
Gang Yu
G. Luo
Jian Sun
VLM
SSeg
100
1,489
0
08 Mar 2017
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
148
6,516
0
21 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
565
37,806
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
275
5,518
0
23 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
419
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
401
43,589
0
17 Sep 2014
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