3 citations · 9 across the 9 of their papers we have counts for
4 papers · 1 filter
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding, Changchang Sun, Hao Tang +2
Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing…
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints
Hao Ding, Jie Ying Wu, Zhaoshuo Li +1
Purpose: Vision-based robot tool segmentation plays a fundamental role in surgical robots and downstream tasks. CaRTS, based on a complementary causal model, has shown promising pe…
Twin-S: A Digital Twin for Skull-base Surgery
Hongchao Shu, Ruixing Liang, Zhaoshuo Li +9
Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital…
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data
Hao Ding, Jintan Zhang, Peter Kazanzides +2
Vision-based segmentation of the robotic tool during robot-assisted surgery enables downstream applications, such as augmented reality feedback, while allowing for inaccuracies in…