Explore Deep Learning IVIM

Deep learning intravoxel incoherent motion modelling: Exploring the impact of training features and learning strategies

This repository contains the code regarding the publication: 'Deep learning intravoxel incoherent motion modelling: Exploring the impact of training features and learning strategies'. In this work, we have explored potential impacts of key training features in unsupervised and supervised learning for IVIM model fitting. The code contains unsupervised and supervised networks when trained on the uniform distribution synthetic data set.

Publication accompanying this code is available at:

https://onlinelibrary.wiley.com/doi/10.1002/mrm.29628

For easy start, run the code 'Explore_Deep_Learning_IVIM_code.py'

Figures and Plots are created in subfolders when running the code.

March 2023 by Misha Kaandorp

mpkaando@stud.ntnu.no

https://github.com/Mishakaandorp