4 citations · 4 across the 3 of their papers we have counts for
5 papers
Training-free Temporal Object Tracking in Surgical Videos
Subhadeep Koley, Abdolrahim Kadkhodamohammadi, Santiago Barbarisi +2
Purpose: In this paper, we present a novel approach for online object tracking in laparoscopic cholecystectomy (LC) surgical videos, targeting localisation and tracking of critical…
SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment
Runlong He, Freweini M. Tesfai, Matthew W. E. Boal +13
Robotic-assisted surgery (RAS) is established in clinical practice, and automated surgical skill assessment utilizing multimodal data offers transformative potential for surgical a…
Self-Knowledge Distillation for Surgical Phase Recognition
Jinglu Zhang, Santiago Barbarisi, Abdolrahim Kadkhodamohammadi +2
Purpose: Advances in surgical phase recognition are generally led by training deeper networks. Rather than going further with a more complex solution, we believe that current model…
A generalizable approach for multi-view 3D human pose regression
Abdolrahim Kadkhodamohammadi, Nicolas Padoy
Despite the significant improvement in the performance of monocular pose estimation approaches and their ability to generalize to unseen environments, multi-view (MV) approaches ar…
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Many approaches have been proposed for human pose estimation in single and multi-view RGB images. However, some environments, such as the operating room, are still very challenging…