6 citations · 10 across the 10 of their papers we have counts for
6 papers · 1 filter
Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
Han Zhang, Boyang Zhao, Mathias Unberath
Patient-specific anatomical models provide individualized context for surgical planning, image-guided intervention, and algorithm development. However, most CT-derived models are s…
Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA
Yiqing Shen, Han Zhang, Mathias Unberath
Surgical video question answering requires multi-step reasoning across semantic, spatial, and temporal dimensions. Existing methods architecturally compress videos into discrete to…
TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research
Han Zhang, Yiqing Shen, Roger D. Soberanis-Mukul +11
Developing embodied AI for intelligent surgical systems requires safe, controllable environments for continual learning and evaluation. However, safety regulations and operational…
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…
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
Benjamin D. Killeen, Liam J. Wang, Blanca Inigo +5
Language promptable X-ray image segmentation would enable greater flexibility for human-in-the-loop workflows in diagnostic and interventional precision medicine. Prior efforts hav…