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On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

6 July 2017
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
    3DV
ArXiv (abs)PDFHTML

Papers citing "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task"

39 / 89 papers shown
Title
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI
  Segmentation
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI SegmentationNeuroImage (NeuroImage), 2019
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
285
156
0
20 Nov 2019
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer
  Assisted Interventions
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted InterventionsProceedings of the IEEE (Proc. IEEE), 2019
Tom Vercauteren
Mathias Unberath
N. Padoy
Nassir Navab
181
124
0
20 Oct 2019
CompareNet: Anatomical Segmentation Network with Deep Non-local Label
  Fusion
CompareNet: Anatomical Segmentation Network with Deep Non-local Label FusionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Yuan Liang
Weinan Song
J. Dym
Kun Wang
Lei He
3DPC
115
6
0
10 Oct 2019
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for
  weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner
  MRI
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Dennis Bontempi
Sergio Benini
A. Signoroni
M. Svanera
L. Muckli
3DV
228
30
0
11 Sep 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution KernelsIEEE International Conference on Computer Vision (ICCV), 2019
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
145
96
0
26 Aug 2019
Improved MR to CT synthesis for PET/MR attenuation correction using
  Imitation Learning
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
Kerstin Kläser
Thomas Varsavsky
P. Markiewicz
Tom Vercauteren
David Atkinson
K. Thielemans
B. Hutton
M. Jorge Cardoso
Sebastien Ourselin
MedImOOD
100
15
0
21 Aug 2019
Enhanced generative adversarial network for 3D brain MRI
  super-resolution
Enhanced generative adversarial network for 3D brain MRI super-resolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Jiancong Wang
Yuhua Chen
Yifan Wu
Jianbo Shi
J. Gee
MedImGAN
126
74
0
10 Jul 2019
Learning joint lesion and tissue segmentation from task-specific
  hetero-modal datasets
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasetsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2019
Reuben Dorent
Wenqi Li
J. Ekanayake
Sebastien Ourselin
Tom Vercauteren
124
4
0
07 Jul 2019
Permutohedral Attention Module for Efficient Non-Local Neural Networks
Permutohedral Attention Module for Efficient Non-Local Neural NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Samuel Joutard
Reuben Dorent
A. Isaac
Sebastien Ourselin
Tom Vercauteren
Marc Modat
116
11
0
01 Jul 2019
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Yuemeng Li
Hangfan Liu
Hongming Li
Yong-Xian Fan
MedIm
109
1
0
07 May 2019
Standardized Assessment of Automatic Segmentation of White Matter
  Hyperintensities and Results of the WMH Segmentation Challenge
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf
J. M. Biesbroek
J. de Bresser
R. Heinen
Simon Andermatt
...
Christopher P L H Chen
W. M. van der Flier
F. Barkhof
M. Viergever
G. Biessels
174
293
0
01 Apr 2019
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
151
273
0
28 Mar 2019
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
Amod Jog
Andrew Hoopes
Douglas N. Greve
Koen van Leemput
Bruce Fischl
OOD
180
38
0
17 Jan 2019
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across
  Clinical Magnetic Resonance Imaging Protocols
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols
Yunxi Xiong
Yuankai Huo
Jiachen Wang
L. Davis
M. McHugo
Bennett A. Landman
80
12
0
07 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern Menze
M. Reyes
Verónica Vilaplana
119
199
0
30 Dec 2018
Holistic Decomposition Convolution for Effective Semantic Segmentation
  of 3D MR Images
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
G. Zeng
Guoyan Zheng
106
3
0
24 Dec 2018
3D multirater RCNN for multimodal multiclass detection and
  characterisation of extremely small objects
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Carole H. Sudre
B. G. Anson
S. Ingala
C. Lane
Daniel Jimenez
L. Haider
Thomas Varsavsky
Lorna Smith
H. Jäger
M. Jorge Cardoso
112
21
0
21 Dec 2018
Knowing what you know in brain segmentation using Bayesian deep neural
  networks
Knowing what you know in brain segmentation using Bayesian deep neural networks
Patrick McClure
Nao Rho
J. Lee
Jakub R. Kaczmarzyk
C. Zheng
Satrajit S. Ghosh
D. Nielson
Adam G. Thomas
P. Bandettini
Francisco Pereira
UQCV3DVBDL
196
56
0
03 Dec 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRIZeitschrift für Medizinische Physik (Z Med Phys), 2018
A. Lundervold
A. Lundervold
OOD
298
1,796
0
25 Nov 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
OODMedIm
76
21
0
22 Aug 2018
Pulse Sequence Resilient Fast Brain Segmentation
Pulse Sequence Resilient Fast Brain Segmentation
Amod Jog
Bruce Fischl
OOD
94
17
0
30 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 Vercauteren
UQCVMedImOOD
294
650
0
19 Jul 2018
PIMMS: Permutation Invariant Multi-Modal Segmentation
PIMMS: Permutation Invariant Multi-Modal Segmentation
Thomas Varsavsky
Zach Eaton-Rosen
Carole H. Sudre
P. Nachev
M. Jorge Cardoso
127
24
0
17 Jul 2018
Towards safe deep learning: accurately quantifying biomarker uncertainty
  in neural network predictions
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Zach Eaton-Rosen
Felix J. S. Bragman
Sotirios Bisdas
Sebastien Ourselin
M. Jorge Cardoso
UQCV
103
91
0
22 Jun 2018
Uncertainty in multitask learning: joint representations for
  probabilistic MR-only radiotherapy planning
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
Felix J. S. Bragman
Ryutaro Tanno
Zach Eaton-Rosen
Wenqi Li
D. Hawkes
Sebastien Ourselin
Daniel C. Alexander
J. McClelland
M. Jorge Cardoso
UQCV
130
52
0
18 Jun 2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain
  Segmentation from Limited Data
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Yuankai Huo
Zhoubing Xu
Katherine Aboud
P. Parvathaneni
Shunxing Bao
Camilo Bermudez
Susan M. Resnick
L. Cutting
Bennett A. Landman
163
33
0
01 Jun 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure
C. Zheng
Jakub R. Kaczmarzyk
John Rogers-Lee
Satrajit S. Ghosh
D. Nielson
P. Bandettini
Francisco Pereira
270
29
0
28 May 2018
An application of cascaded 3D fully convolutional networks for medical
  image segmentation
An application of cascaded 3D fully convolutional networks for medical image segmentation
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
157
284
0
14 Mar 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
381
1,156
0
20 Feb 2018
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Vercauteren
112
33
0
18 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
181
368
0
11 Dec 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
204
733
0
11 Oct 2017
NiftyNet: a deep-learning platform for medical imaging
NiftyNet: a deep-learning platform for medical imaging
Eli Gibson
Wenqi Li
Carole Sudre
Lucas Fidon
D. I. Shakir
...
Marc Modat
D. Barratt
Sébastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
216
555
0
11 Sep 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
176
520
0
01 Sep 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
350
2,447
0
11 Jul 2017
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 Vercauteren
188
445
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. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
SSeg
291
160
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. Garcia-Peraza-Herrera
Wenqi Li
Lucas Fidon
Caspar Gruijthuijsen
A. Devreker
...
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Vercauteren
Sebastien Ourselin
159
141
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. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
149
64
0
25 Jun 2017
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