3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

12 December 2016

J. Dolz

Papers citing "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

21 / 21 papers shown

Title
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 18 25 0 25 Mar 2022
Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information M. Giacomini S. Perotto 19 8 0 19 Dec 2021
Whole Brain Segmentation with Full Volume Neural Network Yeshu Li Jianwei Cui Yilun Sheng Xiao Liang Jingdong Wang E. Chang Yan Xu 27 11 0 29 Oct 2021
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review A. Shoeibi Marjane Khodatars M. Jafari Parisa Moridian Mitra Rezaei ... Juan M Gorriz Jónathan Heras M. Panahiazar S. Nahavandi U. Acharya 24 125 0 11 May 2021
Teach me to segment with mixed supervision: Confident students become masters Jose Dolz Christian Desrosiers Ismail Ben Ayed 8 25 0 15 Dec 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 38 623 0 02 Aug 2020
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates Gengyan Zhao Fang Liu J. Oler M. Meyerand N. Kalin R. Birn 16 63 0 18 May 2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision H. Kervadec Jose Dolz Shanshan Wang Eric Granger Ismail Ben Ayed 11 82 0 14 Apr 2020
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline Leonie Henschel Sailesh Conjeti Santiago Estrada K. Diers Bruce Fischl M. Reuter MedIm 26 383 0 09 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 23 70 0 08 Sep 2019
`Project & Excite' Modules for Segmentation of Volumetric Medical Scans Anne-Marie Rickmann Abhijit Guha Roy Ignacio Sarasua Nassir Navab Christian Wachinger 3DPC 16 37 0 11 Jun 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 24 178 0 27 Mar 2019
Boundary loss for highly unbalanced segmentation H. Kervadec Jihene Bouchtiba Christian Desrosiers Eric Granger Jose Dolz Ismail Ben Ayed 13 475 0 17 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 11 52 0 03 Dec 2018
SUSAN: Segment Unannotated image Structure using Adversarial Network Fang Liu GAN MedIm 28 56 0 03 Dec 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 14 239 0 12 May 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger 16 222 0 12 Jan 2018
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation Min Tang Zichen Zhang Dana Cobzas Martin Jägersand Jacob L. Jaremko 32 22 0 31 Oct 2017
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network Jose Dolz Ismail Ben Ayed Jing Yuan Christian Desrosiers 14 10 0 16 Oct 2017
Unbiased Shape Compactness for Segmentation Jose Dolz Ismail Ben Ayed Christian Desrosiers 25 11 0 28 Apr 2017
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