Pseudo-healthy synthesis with pathology disentanglement and adversarial learning-Reference-Cited by-同舟云学术

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

Published:2020-08 Issue: Volume:64 Page:101719
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Xia Tian^ORCID,Chartsias Agisilaos^ORCID,Tsaftaris Sotirios A.

Funder

EPSRC

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference49 articles.

1. Augmented CycleGAN: learning many-to-many mappings from unpaired data;Almahairi,2018

2. Pathology segmentation using distributional differences to images of healthy origin;Andermatt,2018

3. Face aging with conditional generative adversarial networks;Antipov,2017

4. Wasserstein generative adversarial networks;Arjovsky,2017

5. Visual feature attribution using Wasserstein GANs;Baumgartner,2018

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