3 papers
eess.IV2026
2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models
Sampath Rapuri, Jeremy Ko, Benjamin D. Killeen +2
The ability to synthesize realistic X-ray images has catalyzed the development of AI models for X-ray image-guided procedures, which otherwise suffer from a lack of available annot…
cs.CV2026
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…
cs.CV2026
Towards Controllable Video Synthesis of Routine and Rare OR Events
Dominik Schneider, Lalithkumar Seenivasan, Sampath Rapuri +8
Purpose: Curating large-scale datasets of operating room (OR) workflow, encompassing rare, safety-critical, or atypical events, remains operationally and ethically challenging. Thi…