Contrastive Domain Disentanglement for Generalizable Medical Image
Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation

13 May 2022

Jingyang Zhang

Guotai Wang

ArXiv (abs)PDF HTML

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

10 / 10 papers shown

Title
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 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 Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 110 700 0 29 Oct 2019
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 Junlin Yang Nicha Dvornek Fan Zhang Julius Chapiro Mingde Lin James S. Duncan DRL OOD 45 135 0 31 Jul 2019
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 Mina Rezaei Haojin Yang Christoph Meinel 77 2,070 0 17 Aug 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 361 5,388 0 03 Nov 2016
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 Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.