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Automated cardiovascular magnetic resonance image analysis with fully
  convolutional networks

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

25 October 2017
Wenjia Bai
Matthew Sinclair
G. Tarroni
Ozan Oktay
Martin Rajchl
G. Vaillant
A. Lee
N. Aung
E. Lukaschuk
M. Sanghvi
F. Zemrak
K. Fung
J. Paiva
V. Carapella
Young Jin Kim
Hideaki Suzuki
Bernhard Kainz
Paul M. Matthews
S. Petersen
Stefan K. Piechnik
S. Neubauer
Ben Glocker
Daniel Rueckert
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Papers citing "Automated cardiovascular magnetic resonance image analysis with fully convolutional networks"

12 / 12 papers shown
Title
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
99
1,040
0
02 Jan 2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
189
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
361
37,704
0
20 May 2016
A Fully Convolutional Neural Network for Cardiac Segmentation in
  Short-Axis MRI
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
Phi Vu Tran
39
314
0
02 Apr 2016
A Combined Deep-Learning and Deformable-Model Approach to Fully
  Automatic Segmentation of the Left Ventricle in Cardiac MRI
A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI
M. Avendi
A. Kheradvar
Hamid Jafarkhani
32
564
0
25 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 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
1.3K
76,547
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
361
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
210
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
977
149,474
0
22 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
160
8,309
0
06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
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