3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

21 June 2016

Thomas Brox

Papers citing "3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation"

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Title
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li Guotai Wang Lucas Fidon Sebastien Ourselin M. Jorge Cardoso Tom Kamiel Magda Vercauteren 3DV 19 337 0 06 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
Tversky loss function for image segmentation using 3D fully convolutional deep networks S. Salehi Deniz Erdogmus Ali Gholipour MedIm 9 823 0 18 Jun 2017
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images Adam P. Harrison Ziyue Xu Kevin George Le Lu Ronald M. Summers D. Mollura 15 126 0 12 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge Kisuk Lee J. Zung Peter H. Li Viren Jain H. S. Seung 3DV 17 266 0 31 May 2017
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks Russell Bates B. Irving B. Markelc Jakob Kaeppler R. Muschel Vicente Grau J. Schnabel MedIm 17 20 0 26 May 2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge Kingsley Kuan Mathieu Ravaut Gaurav Manek Huiling Chen Jie Lin Babar Nazir Cen Chen T. C. Howe Zengfeng Zeng V. Chandrasekhar MedIm 10 87 0 26 May 2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures Adrià Casamitjana Santi Puch Asier Aduriz Verónica Vilaplana 3DV 11 45 0 23 May 2017
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 8 61 0 22 May 2017
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 18 653 0 22 May 2017
Hierarchical 3D fully convolutional networks for multi-organ segmentation H. Roth H. Oda Y. Hayashi M. Oda N. Shimizu M. Fujiwara K. Misawa K. Mori 8 124 0 21 Apr 2017
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
Deep Learning for Photoacoustic Tomography from Sparse Data Stephan Antholzer Markus Haltmeier Johannes Schwab 18 246 0 15 Apr 2017
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox 3DV 11 737 0 28 Mar 2017
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging Steven G. McDonagh Benjamin Hou Konstantinos Kamnitsas Ozan Oktay A. Alansary M. Rutherford Joseph V. Hajnal Bernhard Kainz 8 46 0 28 Feb 2017
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 26 327 0 20 Feb 2017
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 295 10,618 0 19 Feb 2017
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 9 347 0 16 Feb 2017
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 Baris Kayalibay Grady Jensen Patrick van der Smagt SSeg 25 412 0 11 Jan 2017
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Tran Minh Quan David Grant Colburn Hildebrand W. Jeong 16 235 0 16 Dec 2016
Filter sharing: Efficient learning of parameters for volumetric convolutions Rahul Venkataramani S. Thiruvenkadam Prasad Sudhakar Hariharan Ravishankar V. Vaidya 3DPC MedIm 27 0 0 08 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling A. Fedorov Jeremy Johnson Eswar Damaraju Alexei Ozerin Vince D. Calhoun Sergey Plis MedIm 16 47 0 03 Dec 2016
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching Florian Bernard Frank R. Schmidt J. Thunberg Daniel Cremers 3DV 19 19 0 16 Nov 2016
OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler Ali O. Ulusoy Andreas Geiger 3DV 3DPC 23 1,472 0 15 Nov 2016
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation Hao Chen Qi Dou Lequan Yu Pheng-Ann Heng 23 140 0 21 Aug 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 72 8,543 0 15 Jun 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 200 363 0 26 Jan 2016