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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"

50 / 592 papers shown
Title
Deep Recurrent Level Set for Segmenting Brain Tumors
Deep Recurrent Level Set for Segmenting Brain Tumors
T. Hoang
Raajitha Gummadi
Marios Savvides
3DV
6
36
0
10 Oct 2018
Comparison of U-net-based Convolutional Neural Networks for Liver
  Segmentation in CT
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT
H. Meine
G. Chlebus
Mohsen Ghafoorian
I. Endo
A. Schenk
SSeg
MedIm
16
12
0
09 Oct 2018
Glioma Segmentation with Cascaded Unet
Glioma Segmentation with Cascaded Unet
Dmitrii Lachinov
Evgeny Vasiliev
Vadim Turlapov
21
54
0
09 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar
M. Fulham
D. Feng
Jinman Kim
MedIm
27
165
0
05 Oct 2018
No New-Net
No New-Net
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
SSeg
37
395
0
27 Sep 2018
Exclusive Independent Probability Estimation using Deep 3D Fully
  Convolutional DenseNets: Application to IsoIntense Infant Brain MRI
  Segmentation
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Seyed Raein Hashemi
S. Prabhu
Simon K. Warfield
Ali Gholipour
3DV
24
6
0
21 Sep 2018
Retrospective correction of Rigid and Non-Rigid MR motion artifacts
  using GANs
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Karim Armanious
S. Gatidis
K. Nikolaou
Bin Yang
Thomas Kustner
MedIm
11
39
0
17 Sep 2018
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Mehmet Aygün
Y. Sahin
Gözde B. Ünal
MedIm
16
21
0
17 Sep 2018
Automatic 3D bi-ventricular segmentation of cardiac images by a
  shape-refined multi-task deep learning approach
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Jinming Duan
Ghalib A. Bello
Jo Schlemper
Wenjia Bai
T. Dawes
C. Biffi
A. de Marvao
Georgia Doumou
D. O’Regan
Daniel Rueckert
MedIm
16
5
0
26 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
15
1,447
0
22 Aug 2018
Deep Boosted Regression for MR to CT Synthesis
Deep Boosted Regression for MR to CT Synthesis
Kerstin Kläser
P. Markiewicz
M. Ranzini
Wenqi Li
Marc Modat
B. Hutton
David Atkinson
K. Thielemans
M. Jorge Cardoso
Sebastien Ourselin
OOD
MedIm
14
20
0
22 Aug 2018
Simultaneous synthesis of FLAIR and segmentation of white matter
  hypointensities from T1 MRIs
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs
Mauricio Orbes-Arteaga
M. Jorge Cardoso
Lauge Sørensen
Marc Modat
Sébastien Ourselin
Mads Nielsen
A. Pai
24
15
0
20 Aug 2018
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for
  3D Images
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
Stefano B. Blumberg
Ryutaro Tanno
Iasonas Kokkinos
Daniel C. Alexander
MedIm
21
56
0
16 Aug 2018
Holographic Visualisation of Radiology Data and Automated Machine
  Learning-based Medical Image Segmentation
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation
Lucian Trestioreanu
38
2
0
15 Aug 2018
DeepNeuro: an open-source deep learning toolbox for neuroimaging
DeepNeuro: an open-source deep learning toolbox for neuroimaging
Andrew Beers
James M. Brown
Ken Chang
K. Hoebel
Elizabeth R Gerstner
Bruce Rosen
Jayashree Kalpathy-Cramer
MedIm
14
38
0
14 Aug 2018
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural
  Networks
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
N. Gessert
Matthias Lutz
Markus Heyder
S. Latus
D. Leistner
Youssef S. Abdelwahed
Alexander Schlaefer
29
89
0
13 Aug 2018
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver
  Segmentation
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation
Minyoung Chung
Jingyu Lee
Minkyung Lee
Jeongjin Lee
Y. Shin
MedIm
24
27
0
02 Aug 2018
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform
  Patch Generation
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
Egor Krivov
V. Kostjuchenko
A. Dalechina
B. Shirokikh
Gleb Makarchuk
A. Denisenko
A. Golanov
Mikhail Belyaev
MedIm
22
5
0
01 Aug 2018
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional
  Neural Networks
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
Snehashis Roy
J. Butman
D. L. Pham
MedIm
9
27
0
27 Jul 2018
TBI Contusion Segmentation from MRI using Convolutional Neural Networks
TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Snehashis Roy
J. Butman
L. Chan
D. L. Pham
MedIm
16
22
0
27 Jul 2018
Towards a Deep Unified Framework for Nuclear Reactor Perturbation
  Analysis
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
Fabio De Sousa Ribeiro
Francesco Calivá
D. Chionis
A. Dokhane
A. Mylonakis
C. Demazière
Georgios Leontidis
Stefanos D. Kollias
32
23
0
26 Jul 2018
Multi-Scale Gradual Integration CNN for False Positive Reduction in
  Pulmonary Nodule Detection
Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection
Bum-Chae Kim
Jun-Sik Choi
Heung-Il Suk
4
73
0
24 Jul 2018
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
13
105
0
23 Jul 2018
Brain Tumor Segmentation and Tractographic Feature Extraction from
  Structural MR Images for Overall Survival Prediction
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction
Po-Yu Kao
Thuyen Ngo
Angela Zhang
Jefferson W. Chen
B. S. Manjunath
20
84
0
20 Jul 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
UQCV
MedIm
OOD
52
581
0
19 Jul 2018
A Modality-Adaptive Method for Segmenting Brain Tumors and
  Organs-at-Risk in Radiation Therapy Planning
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
Mikael Agn
P. Rosenschöld
Oula Puonti
M. Lundemann
L. Mancini
A. Papadaki
Steffi Thust
John Ashburner
I. Law
Koen van Leemput
7
37
0
18 Jul 2018
Method for motion artifact reduction using a convolutional neural
  network for dynamic contrast enhanced MRI of the liver
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver
D. Tamada
M. Kromrey
H. Onishi
U. Motosugi
MedIm
12
93
0
18 Jul 2018
A Generic Approach to Lung Field Segmentation from Chest Radiographs
  using Deep Space and Shape Learning
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Awais Mansoor
Juan J. Cerrolaza
Geovanny F. Perez
E. Biggs
K. Okada
G. Nino
M. Linguraru
14
26
0
11 Jul 2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases
  and Identifying Abnormalities
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
Bo Zhou
Yuemeng Li
Jiangcong Wang
MedIm
34
26
0
03 Jul 2018
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor
  Segmentation
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Yijie Huang
Qi Dou
Zixian Wang
Li-Zhi Liu
Ying Jin
Chaozhuo Li
Lisheng Wang
Hao Chen
R. Xu
14
57
0
27 Jun 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OOD
MedIm
22
49
0
14 Jun 2018
Boosted Training of Convolutional Neural Networks for Multi-Class
  Segmentation
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation
L. Berger
E. Hyde
Matthew D. Gibb
N. Pavithran
Garin Kelly
F. Mumtaz
Sébastien Ourselin
SSeg
14
2
0
13 Jun 2018
Unsupervised Detection of Lesions in Brain MRI using constrained
  adversarial auto-encoders
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen
E. Konukoglu
MedIm
35
264
0
13 Jun 2018
Fully Convolutional Network for Melanoma Diagnostics
Fully Convolutional Network for Melanoma Diagnostics
Adon Phillips
I. Teo
J. Lang
MedIm
16
2
0
12 Jun 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image
  Segmentation Pipelines
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Martin Rajchl
Nick Pawlowski
Daniel Rueckert
Paul M. Matthews
Ben Glocker
SSeg
11
35
0
11 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
32
154
0
06 Jun 2018
Domain Adaptation for MRI Organ Segmentation using Reverse
  Classification Accuracy
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy
V. Valindria
I. Lavdas
Wenjia Bai
Konstantinos Kamnitsas
E. Aboagye
A. Rockall
Daniel Rueckert
Ben Glocker
OOD
18
21
0
01 Jun 2018
Learning Data Augmentation for Brain Tumor Segmentation with
  Coarse-to-Fine Generative Adversarial Networks
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
Tony C. W. Mok
Albert C. S. Chung
GAN
MedIm
24
89
0
29 May 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent
  Neural Networks on Electronic Medical Records
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon
Min-Je Choi
J. Kim
Edward Choi
Young Bin Kim
Soonwook Kwon
Jimeng Sun
Jaegul Choo
30
251
0
28 May 2018
Multi-region segmentation of bladder cancer structures in MRI with
  progressive dilated convolutional networks
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz
Xiaopan Xu
Jérôme Rony
Jing Yuan
Yang Liu
Eric Granger
Christian Desrosiers
Xi Zhang
Ismail Ben Ayed
Hongbing Lu
MedIm
20
80
0
28 May 2018
Autofocus Layer for Semantic Segmentation
Autofocus Layer for Semantic Segmentation
Yao Qin
Konstantinos Kamnitsas
Siddharth Ancha
Jay Nanavati
G. Cottrell
A. Criminisi
A. Nori
SSeg
MedIm
24
111
0
22 May 2018
Automatic segmentation of the spinal cord and intramedullary multiple
  sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C. Gros
B. Leener
A. Badji
J. Maranzano
Dominique Eden
...
J. Doyon
T. Shepherd
Erik Charlson
S. Narayanan
Julien Cohen-Adad
33
215
0
16 May 2018
Attaining human-level performance with atlas location autocontext for
  anatomical landmark detection in 3D CT data
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data
Alison Q. OÑeil
Antanas Kascenas
Josep Henry
D. Wyeth
M. Shepherd
...
L. Clunie
Carrie Sansom
Evelina Seduikyte
K. Muir
Ian Poole
16
40
0
14 May 2018
Abdominal multi-organ segmentation with organ-attention networks and
  statistical fusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
14
215
0
23 Apr 2018
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging
  using Consensus-based Silver standard Masks
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks
Oeslle Lucena
R. Souza
Letícia Rittner
Richard Frayne
R. Lotufo
11
3
0
13 Apr 2018
Iterative fully convolutional neural networks for automatic vertebra
  segmentation and identification
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Nikolas Lessmann
Bram van Ginneken
P. A. Jong
Ivana Išgum
14
212
0
12 Apr 2018
Generative Adversarial Training for MRA Image Synthesis Using
  Multi-Contrast MRI
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
Sahin Olut
Y. Sahin
Ugur Demir
Gözde B. Ünal
MedIm
GAN
23
66
0
12 Apr 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
39
4,942
0
11 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
14
431
0
09 Apr 2018
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