activity
20232026
most citedFew-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

EndoPrior-GS: Dynamic Endoscopic Reconstruction with a Joint Texture Prior

Jiaqi Huang, Shidong Wang, Tong Xin +1

Dynamic endoscopic reconstruction is fundamental to robotic surgery and computer-assisted interventions. While 3D Gaussian Splatting (3DGS) realises real-time rendering, its applic…

cs.CV2026

SIEFormer: Spectral-Interpretable and -Enhanced Transformer for Generalized Category Discovery

Chunming Li, Shidong Wang, Tong Xin +1

This paper presents a novel approach, Spectral-Interpretable and -Enhanced Transformer (SIEFormer), which leverages spectral analysis to reinterpret the attention mechanism within…

cs.CV2024

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation

Yazhou Zhu, Minxian Li, Qiaolin Ye +3

Few-shot medical image segmentation (FSMIS) aims to perform the limited annotated data learning in the medical image analysis scope. Despite the progress has been achieved, current…

cs.CV2023★ 1 cited

Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation

Yazhou Zhu, Shidong Wang, Tong Xin +2

Few-shot Medical Image Segmentation (FSMIS) is a more promising solution for medical image segmentation tasks where high-quality annotations are naturally scarce. However, current…

cs.CV2023★ 1 cited

Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

Yazhou Zhu, Shidong Wang, Tong Xin +1

Automated segmentation of large volumes of medical images is often plagued by the limited availability of fully annotated data and the diversity of organ surface properties resulti…