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20242026
most citedStraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion

2 citations · 7 across the 17 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

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…

cs.RO2025

Constrained Natural Language Action Planning for Resilient Embodied Systems

Grayson Byrd, Corban Rivera, Bethany Kemp +5

Replicating human-level intelligence in the execution of embodied tasks remains challenging due to the unconstrained nature of real-world environments. Novel use of large language…

cs.CV2025

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…

cs.RO2025

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance

Lalithkumar Seenivasan, Jiru Xu, Roger D. Soberanis Mukul +6

Emerging surgical data science and robotics solutions, especially those designed to provide assistance in situ, require natural human-machine interfaces to fully unlock their poten…

cs.CV2025

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…

cs.CV2025

MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition

Hao Ding, Xu Lian, Mathias Unberath

Surgical phase recognition from video enables various downstream applications. Transformer-based sliding window approaches have set the state-of-the-art by capturing rich spatial-t…