Training patient-specific 2D/3D registration models in 5 minutes. • 🚀 A single CLI/API for training models and registering clinical data • ⚡️ 100x faster patient-specific model training than DiffPose • 📐 Submillimeter registration accuracy with new image-similarity metrics • 🐍 Pure Python/PyTorch implementation
Rapid patient-specific neural networks for intraoperative X-ray to volume registration. Vivek Gopalakrishnan, Neel Dey, David-Dimitris Chlorogiannis, Andrew Abumoussa, Anna M. Larson, Darren B. Orbach, Sarah Frisken, Polina Golland arXiv: https://arxiv.org/abs/2503.16309
https://github.com/eigenvivek/xvr
https://github.com/eigenvivek/xvr#usage