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【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

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# Accelerated Multi-Modal MR Imaging with Transformers

## Dependencies
* numpy==1.18.5
* scikit_image==0.16.2
* torchvision==0.8.1
* torch==1.7.0
* runstats==1.8.0
* pytorch_lightning==1.0.6
* h5py==2.10.0
* PyYAML==5.4

###  :fire: NEWS :fire:
* We have uploaded the csv.files of the paired data.

**multi gpu train**
```bash
python -m torch.distributed.launch --nproc_per_node=8   train.py --experiment sr_multi_cross
```

**single gpu train**
```bash
python train.py --experiment sr_multi_cross
```

**multi gpu test**
```bash
python -m torch.distributed.launch --nproc_per_node=8   test.py --experiment sr_multi_cross
```

**single gpu test**
```bash
python test.py --experiment sr_multi_cross
```

```--experiment``` is the experiment you running. And you can change the config file to set the parameter when training or testing.

Citation

```
@article{feng2021accelerated,
  title={Accelerated Multi-Modal MR Imaging with Transformers},
  author={Feng, Chun-Mei and Yan, Yunlu and Chen, Geng and Fu, Huazhu and Xu, Yong and Shao, Ling},
  journal={arXiv e-prints},
  pages={arXiv--2106},
  year={2021}
}

```

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