3 citations · 4 across the 5 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation
Yingzhen Hu, Yiheng Zhong, Keying Zhu +5
Prompt-free adaptation of the Segment Anything Model (SAM) has emerged as a promising paradigm for automatic medical image segmentation. Existing methods mainly focus on prompt gen…
cs.CV2025
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
Taoyu Wu, Yiyi Miao, Zhuoxiao Li +5
Efficient three-dimensional reconstruction and real-time visualization are critical in surgical scenarios such as endoscopy. In recent years, 3D Gaussian Splatting (3DGS) has demon…
cs.CV2024★ 3 cited
ProMISe: Promptable Medical Image Segmentation using SAM
Jinfeng Wang, Sifan Song, Xinkun Wang +4
With the proposal of the Segment Anything Model (SAM), fine-tuning SAM for medical image segmentation (MIS) has become popular. However, due to the large size of the SAM model and…