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PASTA: Learning Parameter-specific Affine Transformation for Medical Images Registration
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Official implementations of MICCAI2021 paper: [Learning Parameter-specific Affine Transformation for Medical Images Registration] (https://link.springer.com/chapter/10.1007/978-3-030-87202-1_3).
- Implemented a novel parameter-specific affine transformation framework for both 2D and 3D medical images registration
- A Pytoch verstion is coming soon...
- A friendly usage is coming soon...
Some important required packages include:
- [Tensorflow] version >= 2.0.
- Python >= 3.6.
If you find it is useful in your research, please consider to cite:
@inproceedings{chen2021learning,title={Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration},author={Chen, Xu and Meng, Yanda and Zhao, Yitian and Williams, Rachel and Vallabhaneni, Srinivasa R and Zheng, Yalin},booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},pages={24--34},year={2021},organization={Springer}}