@@ -20,13 +20,13 @@ Most importantly, `DiffDRR` implements DRR rendering as a PyTorch module, making
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## Install
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- To install the latest stable release:
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+ To install the latest stable release ( ** recommended ** ) :
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``` zsh
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pip install diffdrr
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```
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- To install the development version ( ** recommended ** ) :
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+ To install the development version:
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``` zsh
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git clone https://github.com/eigenvivek/DiffDRR.git --depth 1
@@ -173,12 +173,20 @@ Physics, 2(12):252–5, 1985.](https://doi.org/10.1118/1.595715)
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If you find ` DiffDRR ` useful in your work, please cite our
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[ paper] ( https://arxiv.org/abs/2208.12737 ) :
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- @inproceedings{gopalakrishnanDiffDRR2022,
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- author = {Gopalakrishnan, Vivek and Golland, Polina},
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- title = {Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging},
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- year = {2022},
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- booktitle = {Clinical Image-based Procedures: 11th International Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, Proceedings},
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- series = {Lecture Notes in Computer Science},
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- publisher = {Springer},
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- doi = {https://doi.org/10.1007/978-3-031-23179-7_1},
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+ @inproceedings{gopalakrishnan2022fast,
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+ title={Fast auto-differentiable digitally reconstructed radiographs for solving inverse problems in intraoperative imaging},
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+ author={Gopalakrishnan, Vivek and Golland, Polina},
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+ booktitle={Workshop on Clinical Image-Based Procedures},
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+ pages={1--11},
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+ year={2022},
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+ organization={Springer}
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}
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+
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+ If the 2D/3D registration capabilities are helpful, please cite our followup, [ ` DiffPose ` ] ( https://arxiv.org/abs/2312.06358 ) :
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+
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+ @article{gopalakrishnan2023intraoperative,
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+ title={Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering},
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+ author={Gopalakrishnan, Vivek and Dey, Neel and Golland, Polina},
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+ journal={arXiv preprint arXiv:2312.06358},
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+ year={2023}
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+ }
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