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Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
Patient-specific anatomical models provide individualized context for surgical planning, image-guided intervention, and algorithm development. However, most CT-derived models are static: they preserve the body configuration captured at scan time, but cannot represent how the same anatomy would appea
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