GAN-CIRCLE

IEEE TMI 2019. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

Introduction

This repository is for our TMI 2019 paper 'CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)'.

Citation

If GAN-CIRCLE is useful for your research, please consider citing this work:

@article{you2019ct,
  title={CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE)},
  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 others},
  journal={IEEE transactions on medical imaging},
  volume={39},
  number={1},
  pages={188--203},
  year={2019},
  publisher={IEEE}
}

Contact

If you have any question, please file an issue or contact the author:

Chenyu You: [email protected]