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 Kamiel Magda Vercauteren

3DV

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

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CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion Yuan Liang Weinan Song J. Dym Kun Wang Lei He 3DPC 28 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 Dennis Bontempi Sergio Benini A. Signoroni M. Svanera L. Muckli 3DV 13 27 0 11 Sep 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J. S. Bragman Ryutaro Tanno Sebastien Ourselin Daniel C. Alexander M. Jorge Cardoso 24 86 0 26 Aug 2019
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 MedIm OOD 22 13 0 21 Aug 2019
Enhanced generative adversarial network for 3D brain MRI super-resolution Jiancong Wang Yuhua Chen Yifan Wu Jianbo Shi J. Gee MedIm GAN 17 60 0 10 Jul 2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets R. Dorent Wenqi Li J. Ekanayake Sebastien Ourselin Tom Kamiel Magda Vercauteren 15 4 0 07 Jul 2019
Permutohedral Attention Module for Efficient Non-Local Neural Networks Samuel Joutard R. Dorent A. Isaac Sebastien Ourselin Tom Kamiel Magda Vercauteren Marc Modat 15 11 0 01 Jul 2019
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation Yuemeng Li Hangfan Liu Hongming Li Yong-Xian Fan MedIm 20 1 0 07 May 2019
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 11 250 0 01 Apr 2019
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 33 247 0 28 Mar 2019
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation Amod Jog Andrew Hoopes Douglas N. Greve Koen van Leemput Bruce Fischl OOD 15 34 0 17 Jan 2019
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 19 12 0 07 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation Adrià Casamitjana Hugo J. Kuijf Bjoern H. Menze M. Reyes Verónica Vilaplana 22 196 0 30 Dec 2018
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images G. Zeng Guoyan Zheng 11 3 0 24 Dec 2018
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 17 19 0 21 Dec 2018
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 UQCV 3DV BDL 24 52 0 03 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 11 1,605 0 25 Nov 2018
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 9 20 0 22 Aug 2018
Pulse Sequence Resilient Fast Brain Segmentation Amod Jog Bruce Fischl OOD 22 16 0 30 Jul 2018
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 52 582 0 19 Jul 2018
PIMMS: Permutation Invariant Multi-Modal Segmentation Thomas Varsavsky Zach Eaton-Rosen Carole H. Sudre P. Nachev M. Jorge Cardoso 12 22 0 17 Jul 2018
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 23 85 0 22 Jun 2018
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 33 49 0 18 Jun 2018
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 22 33 0 01 Jun 2018
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 16 28 0 28 May 2018
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 16 273 0 14 Mar 2018
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 42 1,003 0 20 Feb 2018
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 Kamiel Magda Vercauteren 29 30 0 18 Dec 2017
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 22 349 0 11 Dec 2017
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 Kamiel Magda Vercauteren 41 686 0 11 Oct 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 16 479 0 01 Sep 2017
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Kamiel Magda Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 27 2,118 0 11 Jul 2017
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 Lucas Fidon Wenqi Li Luis C. García-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Kamiel Magda Vercauteren SSeg 24 149 0 03 Jul 2017
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 19 128 0 25 Jun 2017
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 6 61 0 25 Jun 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015