1 citations · 2 across the 11 of their papers we have counts for
10 papers · 1 filter
Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos
Chenyan Jing, Hao Ding, Lalithkumar Seenivasan +2
Vision foundation models such as SAM 3 can provide transferable object-level structure across diverse surgical video conditions, but segmentation outputs do not explicitly encode t…
AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction
Aiza Maksutova, Lalithkumar Seenivasan, Hao Ding +5
Surgical action automation has progressed rapidly toward achieving surgeon-like dexterous control, driven primarily by advances in learning from demonstration and vision-language-a…
SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
Sampath Rapuri, Lalithkumar Seenivasan, Dominik Schneider +9
A surgical world model capable of generating realistic surgical action videos with precise control over tool-tissue interactions can address fundamental challenges in surgical AI a…
Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures
Florence Klitzner, Blanca Inigo, Benjamin D. Killeen +4
Imitation learning-based robot control policies are enjoying renewed interest in video-based robotics. However, it remains unclear whether this approach applies to X-ray-guided pro…
Egosurg: Arbitrary view synthesis for egocentric replay of operating room workflows from ambient cameras
Han Zhang, Lalithkumar Seenivasan, Jose L. Porras +10
Observing surgical practice has historically relied on fixed vantage points or recollections, leaving the egocentric perspectives that shape clinical decisions undocumented. Ambien…
Privacy-Preserving Operating Room Workflow Analysis using Digital Twins
Alejandra Perez, Han Zhang, Yu-Chun Ku +7
The operating room (OR) is a complex environment where optimizing workflows is critical to reduce costs and improve patient outcomes. While computer vision approaches for automatic…