IEEE TMI 2019. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
This repository is for our TMI 2019 paper 'CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)'.
If GAN-CIRCLE is useful for your research, please consider citing this work:
@article{article,
author = {You, Chenyu and Li, Guang and Zhang, Yi and Zhang, Xiaoliu and Shan, Hongming and Li, Mengzhou and Ju, Shenghong and Zhao, Zhen and Zhang, Zhuiyang and Cong, Wenxiang and W. Vannier, Michael and Saha, Punam and Hoffman, Eric and Wang, Ge},
year = {2019},
month = {06},
pages = {1-1},
title = {CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)},
volume = {PP},
journal = {IEEE Transactions on Medical Imaging},
doi = {10.1109/TMI.2019.2922960}
}
If you have any question, please file an issue or contact the author:
Chenyu You: uniycy@stanford.edu