xvr is a self-supervised patient-specific neural network method for rapid 2D/3D rigid registration that pretrains a foundation model on whole-body scans and finetunes per patient in minutes using physics-based simulation for training data.
In- traoperative 2D/3D image registration via differentiable X-ray rendering
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 2representative citing papers
Proof-of-concept method creates articulated digital twins from one full-body CT scan using SMPL fitting and anatomy binding for pose retargeting.
citing papers explorer
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Rapid patient-specific neural networks for intraoperative X-ray to volume registration
xvr is a self-supervised patient-specific neural network method for rapid 2D/3D rigid registration that pretrains a foundation model on whole-body scans and finetunes per patient in minutes using physics-based simulation for training data.
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Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
Proof-of-concept method creates articulated digital twins from one full-body CT scan using SMPL fitting and anatomy binding for pose retargeting.