This is the code repository for the paper "Perceptual cGAN for MRI Super-Resolution". The model proposed in the paper was trained and tested on SuperMUDI Challenge dataset.
Please install the dependencies listed in requirements.txt
pip install -r requirements.txt
In order to run the code, please follow the steps below.
After downloading the dataset from the challenge website, preprocess and create numpy arrays.
Set the training options in the file options.py or provide them via command line.
Start training using the following command:
python train.py
Run the script inference.py for running inference and getting the test scores
python inference.py
If you find this code useful kindly cite our work:-) Nasser, S.A., Shamsi, S., Bundele, V., Garg, B. and Sethi, A., 2022. Perceptual cGAN for MRI Super-resolution. arXiv preprint arXiv:2201.09314.
@article{nasser2022perceptual, title={Perceptual cGAN for MRI Super-resolution}, author={Nasser, Sahar Almahfouz and Shamsi, Saqib and Bundele, Valay and Garg, Bhavesh and Sethi, Amit}, journal={arXiv preprint arXiv:2201.09314}, year={2022} }