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Deep Learning with Mixed Supervision for Brain Tumor Segmentation

Deep Learning with Mixed Supervision for Brain Tumor Segmentation

10 December 2018
Pawel Mlynarski
H. Delingette
A. Criminisi
N. Ayache
ArXivPDFHTML

Papers citing "Deep Learning with Mixed Supervision for Brain Tumor Segmentation"

25 / 25 papers shown
Title
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor
  Segmentation
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
Zhanghexuan Ji
Yan Shen
Chunwei Ma
Mingchen Gao
75
64
0
05 Nov 2019
3D Convolutional Neural Networks for Tumor Segmentation using Long-range
  2D Context
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
Pawel Mlynarski
H. Delingette
A. Criminisi
N. Ayache
MedIm
3DV
36
106
0
23 Jul 2018
Semi-Supervised Learning via Compact Latent Space Clustering
Semi-Supervised Learning via Compact Latent Space Clustering
Konstantinos Kamnitsas
Daniel Coelho De Castro
Loic Le Folgoc
Ian Walker
Ryutaro Tanno
Daniel Rueckert
Ben Glocker
A. Criminisi
A. Nori
SSL
63
89
0
07 Jun 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
69
748
0
17 Apr 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GAN
SSeg
110
552
0
22 Feb 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
Automatic Brain Tumor Segmentation using Cascaded Anisotropic
  Convolutional Neural Networks
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Vercauteren
70
481
0
01 Sep 2017
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
Florian Dubost
Gerda Bortsova
H. Adams
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen De Bruijne
MedIm
45
61
0
22 May 2017
Built-in Foreground/Background Prior for Weakly-Supervised Semantic
  Segmentation
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
Stephen Gould
J. Álvarez
73
139
0
02 Sep 2016
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
51
377
0
25 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 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
132
3,057
0
18 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,152
0
14 Mar 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
86
174
0
24 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
113
338
0
16 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
98
985
0
06 Jun 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
1.8K
77,133
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
463
43,289
0
11 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
100
918
0
09 Feb 2015
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
89
315
0
22 Dec 2014
Self-taught Object Localization with Deep Networks
Self-taught Object Localization with Deep Networks
Loris Bazzani
Alessandro Bergamo
Dragomir Anguelov
Lorenzo Torresani
SSL
ObjD
71
154
0
13 Sep 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
1.6K
100,348
0
04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,292
0
20 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,186
0
11 Nov 2013
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