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Contrastive Domain Disentanglement for Generalizable Medical Image
  Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation

13 May 2022
Ran Gu
Jiangshan Lu
Jingyang Zhang
Wenhui Lei
Xiaofan Zhang
Guotai Wang
Shaoting Zhang
ArXiv (abs)PDFHTML

Papers citing "Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation"

10 / 10 papers shown
Title
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
80
689
0
18 Nov 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image
  Segmentation on Unseen Datasets
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang
Lequan Yu
Kang Li
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
64
137
0
13 Oct 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
110
701
0
29 Oct 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods
  for Glaucoma Assessment from Fundus Photographs
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
J. Orlando
Huazhu Fu
J. Barbosa-Breda
K. V. Keer
Deepti R. Bathula
...
Fei Li
Xiulan Zhang
Yanwu Xu
Xiulan Zhang
Hrvoje Bogunović
131
618
0
08 Oct 2019
Unsupervised Domain Adaptation via Disentangled Representations:
  Application to Cross-Modality Liver Segmentation
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
Junlin Yang
Nicha Dvornek
Fan Zhang
Julius Chapiro
Mingde Lin
James S. Duncan
DRLOOD
45
135
0
31 Jul 2019
Disentangled Representation Learning in Cardiac Image Analysis
Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias
T. Joyce
G. Papanastasiou
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
113
126
0
22 Mar 2019
Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
77
2,072
0
17 Aug 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
363
5,388
0
03 Nov 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
161
4,238
0
12 Jun 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,922
0
20 Dec 2013
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