ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.03944
  4. Cited By
Unsupervised learning for cross-domain medical image synthesis using
  deformation invariant cycle consistency networks

Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks

12 August 2018
Chengjia Wang
G. Macnaught
G. Papanastasiou
Tom J. MacGillivray
D. Newby
    MedIm
    GAN
    OOD
ArXivPDFHTML

Papers citing "Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks"

1 / 1 papers shown
Title
Adversarial Synthesis Learning Enables Segmentation Without Target
  Modality Ground Truth
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
Yuankai Huo
Zhoubing Xu
Shunxing Bao
A. Assad
R. Abramson
Bennett A. Landman
GAN
MedIm
39
143
0
20 Dec 2017
1