eigenvivek/xvr-data

⚠️ IF YOU USE THESE DATASETS, PLEASE CITE THE ORIGINAL PAPERS AND RESPECT THEIR ORIGINAL LICENSES. ⚠️

xvr-data contains DICOM/NIfTI versions of the DeepFluoro, Femur, and Ljubljana datasets.

• —Paper: Rapid patient-specific neural networks for intraoperative X-ray to volume registration
• —Code: https://github.com/eigenvivek/xvr

Citation

If you use the `DeepFluoro` dataset (CC BY-NC 4.0), please cite:

@article{grupp2020automatic, title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration}, author={Grupp, Robert B and Unberath, Mathias and Gao, Cong and Hegeman, Rachel A and Murphy, Ryan J and Alexander, Clayton P and Otake, Yoshito and McArthur, Benjamin A and Armand, Mehran and Taylor, Russell H}, journal={International Journal of Computer Assisted Radiology and Surgery}, volume={15}, pages={759--769}, year={2020}, publisher={Springer} }

If you use the `Femur` dataset (CC BY-NC-ND 4.0; remixed version hosted with permission from original authors), please cite:

@article{flepp2025automatic, title={Automatic multi-view X-ray/CT registration using bone substructure contours}, author={Flepp, Roman and Nissen, Leon and Sigrist, Bastian and Nieuwland, Arend and Cavalcanti, Nicola and F{\"u}rnstahl, Philipp and Dreher, Thomas and Calvet, Lilian}, journal={International Journal of Computer Assisted Radiology and Surgery}, volume={20}, number={7}, pages={1401--1408}, year={2025}, publisher={Springer} }

If you use the `Ljubljana` dataset (CC BY-NC-ND 4.0; remixed version hosted with permission from original authors), please cite:

@article{pernus20133d, title={3D-2D registration of cerebral angiograms: A method and evaluation on clinical images}, author={Mitrović, Uroš and Špiclin, Žiga and Likar, Boštjan and Pernuš, Franjo}, journal={IEEE Transactions on Medical Imaging}, volume={32}, number={8}, pages={1550--1563}, year={2013}, publisher={IEEE} }