2 papers
cs.CV2026
H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation
Jia Wang, Jiaming Cai, Zunying Hu +4
Registration-based Few-shot medical image segmentation (RFMIS) aims to generate pseudo-labels for unlabeled images by warping a labeled image through registration. However, existin…
eess.IV2025
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
Jia Wang, Yunan Mei, Jiarui Liu +1
One-shot medical image segmentation (MIS) is crucial for medical analysis due to the burden of medical experts on manual annotation. The recent emergence of the segment anything mo…