Learning to solve inverse problems using Wasserstein loss
This repository contains the code for the article "Learning to solve inverse problems using Wasserstein loss".
The code contains the following
- Training using circle phantoms
The pre-trained networks are currently under finalization and will be released soon, in the meantime, training is just a few hours.
$ pip install https://github.com/odlgroup/odl/archive/master.zip $ pip install https://github.com/adler-j/adler/archive/master.zip
The learning requires tensorflow, and the ray-transform needs ASTRA for computational feasibility
$ conda install -c astra-toolbox astra-toolbox
Development is financially supported by the Swedish Foundation for Strategic Research as part of the project "Low complexity image reconstruction in medical imaging" and "3D reconstruction with simulated forward models".
Development has also been financed by Elekta.