4k citations · 4.5k across the 31 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CV2025
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…
cs.CV2025
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
Han Zhang, Xiangde Luo, Yong Chen +1
Annotation variability remains a substantial challenge in medical image segmentation, stemming from ambiguous imaging boundaries and diverse clinical expertise. Traditional deep le…
cs.CV2025
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
Zihao Luo, Zijun Gao, Wenjun Liao +3
Accurate lymph node (LN) segmentation is critical in radiotherapy treatment and prognosis analysis, but is limited by the need for large annotated datasets. While deep learning-bas…