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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

18 March 2016
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
    MedIm
    3DV
ArXivPDFHTML

Papers citing "Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation"

42 / 592 papers shown
Title
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image
  Segmentation
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang
Maria A. Zuluaga
Wenqi Li
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
24
405
0
03 Jul 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class
  Segmentation using Holistic Convolutional Networks
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks
Lucas Fidon
Wenqi Li
Luis C. García-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
SSeg
32
149
0
03 Jul 2017
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical
  Tools
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools
Luis C. García-Peraza-Herrera
Wenqi Li
Lucas Fidon
Caspar Gruijthuijsen
A. Devreker
...
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Kamiel Magda Vercauteren
Sebastien Ourselin
21
128
0
25 Jun 2017
Scalable multimodal convolutional networks for brain tumour segmentation
Scalable multimodal convolutional networks for brain tumour segmentation
Lucas Fidon
Wenqi Li
Luis C. García-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
8
61
0
25 Jun 2017
Tversky loss function for image segmentation using 3D fully
  convolutional deep networks
Tversky loss function for image segmentation using 3D fully convolutional deep networks
S. Salehi
Deniz Erdogmus
Ali Gholipour
MedIm
11
823
0
18 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedIm
GAN
24
541
0
06 Jun 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
Julia A. Schnabel
MedIm
17
20
0
26 May 2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A
  Comparison of Multi-resolution Architectures
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Adrià Casamitjana
Santi Puch
Asier Aduriz
Verónica Vilaplana
3DV
18
45
0
23 May 2017
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based
  Shape Priors
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Junjie Bai
Abhay Shah
Xiaodong Wu
29
7
0
22 May 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
...
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
18
654
0
22 May 2017
A deep level set method for image segmentation
A deep level set method for image segmentation
Min Tang
Sepehr Valipour
Zichen Vincent Zhang
Dana Cobzas
Martin Jägersand
14
30
0
17 May 2017
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully
  Convolutional Networks
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
Hao Dong
Guang Yang
Fangde Liu
Yuanhan Mo
Yike Guo
24
722
0
10 May 2017
Deep Learning for Medical Image Processing: Overview, Challenges and
  Future
Deep Learning for Medical Image Processing: Overview, Challenges and Future
M. I. Razzak
S. Naz
Ahmad Zaib
15
987
0
22 Apr 2017
A 3D fully convolutional neural network and a random walker to segment
  the esophagus in CT
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT
T. Fechter
S. Adebahr
D. Baltas
Ismail Ben Ayed
Christian Desrosiers
Jose Dolz
24
4
0
21 Apr 2017
Segmentation of the Proximal Femur from MR Images using Deep
  Convolutional Neural Networks
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz
Siyuan Xiang
S. Hallyburton
A. Welbeck
James S. Babb
S. Honig
Kyunghyun Cho
G. Chang
18
147
0
20 Apr 2017
Semi-Supervised Deep Learning for Fully Convolutional Networks
Semi-Supervised Deep Learning for Fully Convolutional Networks
Christoph Baur
Shadi Albarqouni
Nassir Navab
SSL
23
124
0
17 Mar 2017
Auto-context Convolutional Neural Network (Auto-Net) for Brain
  Extraction in Magnetic Resonance Imaging
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
S. Salehi
Deniz Erdogmus
Ali Gholipour
3DV
21
6
0
06 Mar 2017
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense
  Multi-Label CRFs
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs
Raphael Meier
Urspeter Knecht
Alain Jungo
Roland Wiest
M. Reyes
21
6
0
01 Mar 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain
  Lesion Segmentation
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Mohsen Ghafoorian
Alireza Mehrtash
Tina Kapur
N. Karssemeijer
E. Marchiori
...
Bram van Ginneken
Andrey Fedorov
Purang Abolmaesumi
B. Platel
W. Wells
MedIm
OOD
23
328
0
25 Feb 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using
  Cascaded Fully Convolutional Neural Networks
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
P. Christ
Florian Ettlinger
Felix Grün
M. Elshaer
Jana Lipkova
...
Julian Holch
Wieland Sommer
R. Braren
V. Heinemann
Bjoern H. Menze
MedIm
31
327
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
337
10,621
0
19 Feb 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image
  Segmentation
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
M. Drozdzal
Gabriel Chartrand
Eugene Vorontsov
Lisa Di-Jorio
A. Tang
Adriana Romero
Yoshua Bengio
C. Pal
Samuel Kadoury
MedIm
20
218
0
16 Feb 2017
Improving automated multiple sclerosis lesion segmentation with a
  cascaded 3D convolutional neural network approach
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde
Mariano Cabezas
E. Roura
Sandra González-Villá
D. Pareto
J. Vilanova
L. Ramió-Torrentá
À. Rovira
A. Oliver
Xavier Llado
14
347
0
16 Feb 2017
A deep learning model integrating FCNNs and CRFs for brain tumor
  segmentation
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
11
669
0
15 Feb 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in
  the Absence of Ground Truth
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
V. Valindria
I. Lavdas
Wenjia Bai
Konstantinos Kamnitsas
E. Aboagye
A. Rockall
Daniel Rueckert
Ben Glocker
21
127
0
11 Feb 2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks
  for Automated Pancreas Localization and Segmentation
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
H. Roth
Le Lu
Nathan S. Lay
Adam P. Harrison
A. Farag
Andrew Sohn
Ronald M. Summers
31
285
0
31 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
33
413
0
11 Jan 2017
Unsupervised domain adaptation in brain lesion segmentation with
  adversarial networks
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Konstantinos Kamnitsas
Christian F. Baumgartner
C. Ledig
Virginia Newcombe
Joanna P. Simpson
...
David Menon
A. Nori
A. Criminisi
Daniel Rueckert
Ben Glocker
OOD
MedIm
30
477
0
28 Dec 2016
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Wei Shen
Yan Wang
Elliot K. Fishman
Alan Yuille
MedIm
41
36
0
25 Dec 2016
3D fully convolutional networks for subcortical segmentation in MRI: A
  large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz
Christian Desrosiers
Ismail Ben Ayed
3DV
32
364
0
12 Dec 2016
Predicting brain age with deep learning from raw imaging data results in
  a reliable and heritable biomarker
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
James H. Cole
Rudra P. K. Poudel
Dimosthenis Tsagkrasoulis
M. Caan
C. Steves
T. Spector
Giovanni Montana
18
690
0
08 Dec 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
21
236
0
16 Oct 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern H. Menze
MedIm
22
631
0
07 Oct 2016
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain
  Segmentation
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Hao Chen
Qi Dou
Lequan Yu
Pheng-Ann Heng
23
140
0
21 Aug 2016
3D Deeply Supervised Network for Automatic Liver Segmentation from CT
  Volumes
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
J. Qin
Pheng-Ann Heng
MedIm
23
343
0
03 Jul 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
114
8,552
0
15 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
21
48
0
08 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
793
0
27 May 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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