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Self-supervised super-resolution

Reproduction of the algorithm described in SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.

Environment

Instructions to install the dependencies of this project with either conda or pip.

conda

Create a conda environment from environment.yml (or otherwise provide the conda dependencies listed there manually):

conda env create -f environment.yml
conda activate superres

pip

Pip dependencies are listed in the requirements.txt file. Install them with:

pip install -r requirements.txt

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