2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.IV2026★ 2 cited
Scale-aware Adaptive Supervised Network with Limited Medical Annotations
Zihan Li, Dandan Shan, Yunxiang Li +2
Medical image segmentation faces critical challenges in semi-supervised learning scenarios due to severe annotation scarcity requiring expert radiological knowledge, significant in…
cs.CV2025
Boosting Medical Visual Understanding From Multi-Granular Language Learning
Zihan Li, Yiqing Wang, Sina Farsiu +1
Recent advances in image-text pretraining have significantly enhanced visual understanding by aligning visual and textual representations. Contrastive Language-Image Pretraining (C…
eess.IV2025
STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation
Dandan Shan, Zihan Li, Yunxiang Li +3
Accurate segmentation of lesions plays a critical role in medical image analysis and diagnosis. Traditional segmentation approaches that rely solely on visual features often strugg…