3 papers
cs.CV2025
Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
Xin Wang, Yin Guo, Jiamin Xia +5
Most prior unsupervised domain adaptation approaches for medical image segmentation are narrowly tailored to either the source-accessible setting, where adaptation is guided by sou…
cs.CV2025
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation
Xin Wang, Yin Guo, Kaiyu Zhang +4
This work presents a novel Bayesian framework for unsupervised domain adaptation (UDA) in medical image segmentation. While prior works have explored this clinically significant ta…
cs.CV2023
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…