Improving automated multiple sclerosis lesion segmentation with a
cascaded 3D convolutional neural network approach

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

16 February 2017

Mariano Cabezas

Sandra González-Villá

L. Ramió-Torrentá

ArXiv (abs)PDF HTML

Papers citing "Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach"

14 / 14 papers shown

Title
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation Huiyu Li Xiabi Liu Said Boumaraf Xiaopeng Gong Donghai Liao Xiaohong Ma 3DV MedIm 122 9 0 17 Jan 2025
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition Sota Nemoto Shunsuke Kitada Hitoshi Iyatomi 56 1 0 21 Jan 2024
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities P. Moeskops J. Wolterink Bas H. M. van der Velden K. Gilhuijs T. Leiner M. Viergever Ivana Išgum SSeg 57 314 0 11 Apr 2017
Automatic segmentation of MR brain images with a convolutional neural network P. Moeskops M. Viergever A. Mendrik L. D. Vries M. Benders Ivana Išgum 50 785 0 11 Apr 2017
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation Hao Chen Qi Dou Lequan Yu Pheng-Ann Heng 73 140 0 21 Aug 2016
HeMIS: Hetero-Modal Image Segmentation Mohammad Havaei N. Guizard Nicolas Chapados Yoshua Bengio MedIm 68 270 0 18 Jul 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 155 6,551 0 21 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 143 3,060 0 18 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Brain Tumor Segmentation with Deep Neural Networks Mohammad Havaei Axel Davy David Warde-Farley A. Biard Aaron Courville Yoshua Bengio C. Pal Pierre-Marc Jodoin Hugo Larochelle 3DV 112 2,880 0 13 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 446 20,590 0 10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 165 6,632 0 22 Dec 2012

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