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Realistic Image Normalization for Multi-Domain Segmentation

Realistic Image Normalization for Multi-Domain Segmentation

29 September 2020
Pierre-Luc Delisle
Benoit Anctil-Robitaille
Christian Desrosiers
H. Lombaert
ArXivPDFHTML

Papers citing "Realistic Image Normalization for Multi-Domain Segmentation"

14 / 14 papers shown
Title
Multi-layer Domain Adaptation for Deep Convolutional Networks
Multi-layer Domain Adaptation for Deep Convolutional Networks
Ozan Ciga
Jianan Chen
Anne L. Martel
OOD
MedIm
38
13
0
05 Sep 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
30
64
0
26 May 2019
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall
  Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
57
224
0
03 Dec 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
44
748
0
17 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
56
434
0
09 Apr 2018
3D Convolutional Neural Networks for Brain Tumor Segmentation: A
  Comparison of Multi-resolution Architectures
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Adrià Casamitjana
Santi Puch
Asier Aduriz
Verónica Vilaplana
3DV
92
45
0
23 May 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image
  Segmentation
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
M. Drozdzal
Gabriel Chartrand
Eugene Vorontsov
Lisa Di-Jorio
A. Tang
Adriana Romero
Yoshua Bengio
C. Pal
Samuel Kadoury
MedIm
42
218
0
16 Feb 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
144
6,516
0
21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
204
8,660
0
15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
493
37,806
0
20 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
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
126
3,053
0
18 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
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