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.
Patient specific 4d coronary models from ecg-gated cta data for intra-operative dynamic alignment of cta with x-ray images
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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.