Learning Parameter-specific Affine Transformation for Medical Images Registration

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...

• Overview.

Requirements

Some important required packages include:

• [Tensorflow] version >= 2.0.
• Python >= 3.6.

Citation

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} }