most citedVision Foundation Models in Medical Image Analysis: Advances and Challenges

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SGS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices

Yiwei Li, Jiannong Cao, Weixun Gao +4

Streaming reconstruction of Free-Viewpoint Videos (FVVs) supports immersive Internet of Things (IoT) services, such as telepresence and digital twin visualization. Existing methods…

cs.CV2025

Geometry-Consistent 4D Gaussian Splatting for Sparse-Input Dynamic View Synthesis

Yiwei Li, Jiannong Cao, Penghui Ruan +3

Gaussian Splatting has been considered as a novel way for view synthesis of dynamic scenes, which shows great potential in AIoT applications such as digital twins. However, recent…

cs.CV2025

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation

Pengchen Liang, Haishan Huang, Bin Pu +7

Large-scale pre-trained models, such as Vision Foundation Models (VFMs), have demonstrated impressive performance across various downstream tasks by transferring generalized knowle…

eess.IV2025

Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model

Pengchen Liang, Leijun Shi, Huiping Yao +9

Rapid bone scintigraphy is crucial for diagnosing skeletal disorders and detecting tumor metastases in children, as it shortens scan duration and reduces discomfort. However, accel…

eess.IV2025★ 3 cited

Vision Foundation Models in Medical Image Analysis: Advances and Challenges

Pengchen Liang, Bin Pu, Haishan Huang +4

The rapid development of Vision Foundation Models (VFMs), particularly Vision Transformers (ViT) and Segment Anything Model (SAM), has sparked significant advances in the field of…