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+ # `DeepFluoro`
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+ [`DeepFluoro`](https://github.com/rg2/DeepFluoroLabeling-IPCAI2020) ([**Grupp et al., 2020**](https://link.springer.com/article/10.1007/s11548-020-02162-7)) provides paired X-ray fluoroscopy images and CT volume of the pelvis. The data were collected from six cadaveric subjects at John Hopkins University. Ground truth camera poses were estimated with an offline registration process. A visualization of the X-ray / CT pairs in the `DeepFluoro` dataset is available [here](https://vivekg.dev/DiffDRR-Datasets/deepfluoro_camera_poses.html).
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+ @article{grupp2020automatic,
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+ title={Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration},
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+ 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},
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+ journal={International journal of computer assisted radiology and surgery},
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+ volume={15},
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+ pages={759--769},
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+ year={2020},
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+ publisher={Springer}
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+ }