MRI_reconstruction

o start training the model, run:

python models/unet/train_unet.py --challenge CHALLENGE --data-path DATA --exp-dir checkpoint

where CHALLENGE is either singlecoil or multicoil.

To run the model on validation data:

python models/unet/run_unet.py --data-path DATA --data-split val --checkpoint checkpoint/best_model.pt --challenge CHALLENGE --out-dir reconstructions_val --mask-kspace

The outputs will be saved to reconstructions_val. To evaluate the results, run:

python common/evaluate.py --target-path TARGET_DATA --predictions-path reconstructions_val --challenge CHALLENGE

To run the model on test data:

python models/unet/run_unet.py --data-path DATA --data-split test --checkpoint checkpoint/best_model.pt --challenge CHALLENGE --out-dir reconstructions_test

The outputs will be saved to reconstructions_test directory