daviddmc / STRESS

Implementation of 'Stress: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning'

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fetalSR

STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning (Springer|arXiv)

STRESS

Usage

Run python main.py to train a model and test on the simulated dataset.

You may create your own dataset following EPIDataset in data.py.

Cite our work

@inproceedings{xu2021stress,
  title={STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning},
  author={Xu, Junshen and Abaci Turk, Esra and Grant, P Ellen and Golland, Polina and Adalsteinsson, Elfar},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={197--206},
  year={2021},
  organization={Springer}
}

About

Implementation of 'Stress: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning'

License:MIT License


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Language:Python 100.0%