1 citations · 1 across the 5 of their papers we have counts for
6 papers
SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Jia Fu, Litingyu Wang, He Li +27
Accurate delineation of Gross Tumor Volume (GTV), Lymph Node Clinical Target Volume (LN CTV), and Organ-at-Risk (OAR) from Computed Tomography (CT) scans is essential for precise r…
Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation
Linhao Li, Yiwen Ye, Ziyang Chen +1
3D medical image segmentation often faces heavy resource and time consumption, limiting its scalability and rapid deployment in clinical environments. Existing efficient segmentati…
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
Yiwen Ye, Yicheng Wu, Xiangde Luo +5
Foundation models have become a promising paradigm for advancing medical image analysis, particularly for segmentation tasks where downstream applications often emerge sequentially…
Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
Zhisong Wang, Yiwen Ye, Ziyang Chen +1
Weakly supervised semantic segmentation (WSSS) in medical imaging struggles with effectively using sparse annotations. One promising direction for WSSS leverages gaze annotations,…
Meta Curvature-Aware Minimization for Domain Generalization
Ziyang Chen, Yiwen Ye, Feilong Tang +2
Domain generalization (DG) aims to enhance the ability of models trained on source domains to generalize effectively to unseen domains. Recently, Sharpness-Aware Minimization (SAM)…
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation
Yihang Fu, Ziyang Chen, Yiwen Ye +3
Medical images often exhibit distribution shifts due to variations in imaging protocols and scanners across different medical centers. Domain Generalization (DG) methods aim to tra…