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AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI
  Segmentation

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

5 June 2019
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
ArXivPDFHTML

Papers citing "AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation"

10 / 10 papers shown
Title
3D Whole Brain Segmentation using Spatially Localized Atlas Network
  Tiles
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Yuankai Huo
Zhoubing Xu
Yunxi Xiong
Katherine Aboud
P. Parvathaneni
Shunxing Bao
Camilo Bermudez
Susan M. Resnick
L. Cutting
Bennett A. Landman
69
251
0
28 Mar 2019
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
MedIm
103
1,569
0
14 Sep 2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced
  Object Sizes
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Ken C. L. Wong
Mehdi Moradi
Hui Tang
Tanveer Syeda-Mahmood
3DV
SSeg
43
191
0
31 Aug 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
112
1,658
0
14 Mar 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with
  Limited Data
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy
Sailesh Conjeti
Debdoot Sheet
A. Katouzian
Nassir Navab
Christian Wachinger
57
97
0
02 May 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
301
332
0
27 Feb 2017
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
167
1,650
0
16 Dec 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
1.7K
76,917
0
18 May 2015
Deep Neural Networks for Anatomical Brain Segmentation
Deep Neural Networks for Anatomical Brain Segmentation
A. D. Brébisson
Giovanni Montana
52
324
0
09 Feb 2015
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