no code implementations • 13 Apr 2022 • Teemu Sahlström, Tanja Tarvainen
In this work, we study a machine learning based approach for the Bayesian inverse problem of photoacoustic tomography.
1 code implementation • 14 May 2020 • Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge
We discuss the possibility to learn a data-driven explicit model correction for inverse problems and whether such a model correction can be used within a variational framework to obtain regularised reconstructions.