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{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}
}

Contact

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

Chenyu You: uniycy@stanford.edu