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Environment and Dependencies

Requirements:

  • Python 3.6
  • Pytorch 1.4.0
  • scipy
  • scikit-image
  • opencv-python
  • tqdm

Our code has been tested with Python 3.6, Pytorch 1.4.0, torchvision 0.5.0, CUDA 10.0 on Ubuntu 18.04.

Run

  • Train the model
python train.py
  • Test the model
python test.py

Citation

@inproceedings{Li2022WavTransSW,
  title={WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution},
  author={Guangyuan Li and Jun Lyu and Chengyan Wang and Qi Dou and Jin Qin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2022}
}

Our code is built on DuDoRNet and SwinIR. Thank the authors for sharing their codes!

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  • Python 63.5%
  • MATLAB 36.5%