2D diffusion-generated synthetic X-rays enable training of anatomical landmark detectors that generalize to real images with performance rivaling real-data training.
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TwinOR creates dynamic photorealistic digital twins of operating rooms that generate realistic RGB and depth data enabling embodied AI perception and localization tasks to match real-world performance levels.
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2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models
2D diffusion-generated synthetic X-rays enable training of anatomical landmark detectors that generalize to real images with performance rivaling real-data training.
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TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research
TwinOR creates dynamic photorealistic digital twins of operating rooms that generate realistic RGB and depth data enabling embodied AI perception and localization tasks to match real-world performance levels.