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A repository for the paper 'MRI bias field correction with an implicitly trained CNN.'

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Implicit Training

A repository for the paper 'MRI bias field correction with an implicitly trained CNN.' accepted for MIDL 2022.

Link to paper: https://openreview.net/forum?id=LbHd47ij5s

The required packages to run the repository are collected in 'requirements.txt', and the Python version we used is 3.7.13 Link to the Zenodo site with the trained model and an example MR scan: https://zenodo.org/record/3749526#.YpXdjL9ByV4

The required packages to run the repository are collected in 'requirements.txt'

The code 'BFC_testing.py' shows the evaluation of the ImageNet-based model on an example image from BrainWeb. This model is the same as the one evaluated in the paper.

The code 'AWGN_training.py' shows how simple it is to implement implicit learning, instead of the case of bias field correction, here we present a training process for Gaussian Noise removal.

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A repository for the paper 'MRI bias field correction with an implicitly trained CNN.'

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