Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

no code implementations • 23 May 2023 • Xiaofeng Liu, Jerry L. Prince, Fangxu Xing, Jiachen Zhuo, Reese Timothy, Maureen Stone, Georges El Fakhri, Jonghye Woo

We evaluated our framework on two cross-scanner/center, inter-subject translation tasks, including tagged-to-cine magnetic resonance (MR) image translation and T1-weighted MR-to-fractional anisotropy translation.

Pseudo Label Pseudo Label Filtering +3

Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis

no code implementations • 23 Jun 2021 • Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Reese Timothy, Jerry L. Prince, Georges El Fakhri, Jonghye Woo

Self-training based unsupervised domain adaptation (UDA) has shown great potential to address the problem of domain shift, when applying a trained deep learning model in a source domain to unlabeled target domains.

Image Generation Pseudo Label +3