research
∙
09/12/2023
Data-proximal null-space networks for inverse problems
Inverse problems are inherently ill-posed and therefore require regulari...
share
research
∙
05/04/2023
Translation invariant diagonal frame decomposition for the Radon transform
In this article, we address the challenge of solving the ill-posed recon...
research
∙
04/23/2023
A complementary ℓ^1-TV reconstruction algorithm for limited data CT
In a variety of tomographic applications, data cannot be fully acquired,...
research
∙
08/17/2022
Translation invariant diagonal frame decomposition of inverse problems and their regularization
Solving inverse problems is central to a variety of important applicatio...
research
∙
02/22/2022
Feature reconstruction from incomplete tomographic data without detour
In this paper, we consider the problem of feature reconstruction from in...
research
∙
08/14/2020
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition
The characteristic feature of inverse problems is their instability with...
research
∙
04/28/2020
A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction
We derive a new 3D model for magnetic particle imaging (MPI) that is abl...
research
∙
09/20/2019
