Signal recovery with with un-trained convolutional neural networks

This repository provides code for reproducing the figures in the paper:

``Signal recovery with un-trained convolutional neural networks ''

Installation and dependencies

The code is written in python and relies on pytorch. The following libraries are required:

• python 3
• pytorch
• numpy
• skimage
• matplotlib
• scikit-image
• jupyter

The libraries can be installed via:

conda install jupyter

The MRI reconstruction experiments are based on the fastMRI dataset, which can be requested from here: https://fastmri.med.nyu.edu/

Citation

@article{_deep_2019,
    author    = {},
    title     = {Signal recovery with un-trained convolutional neural networks},
    journal   = {arXiv:?},
    year      = {2019}
}

Licence

All files are provided under the terms of the Apache License, Version 2.0.