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Physics-informed neural networks for magnetic resonance elastography

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MRE-PINN

Physics-informed networks for elasticity reconstruction in magnetic resonance elastography.

MRE-PINN examples

Installation

Run the following to setup the conda environment and install it as a Jupyter notebook kernel:

mamba env create --file=environment.yml
mamba activate MRE-PINN
python -m ipykernel install --user --name=MRE-PINN

Usage

To download the BIOQIC data sets:

sh download_data.sh

To train an MRE-PINN model:

python train.py

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Physics-informed neural networks for magnetic resonance elastography

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