21 citations · 21 across the 2 of their papers we have counts for
4 papers
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen +1
Magnetic particle imaging (MPI) is an imaging modality exploiting the nonlinear magnetization behavior of (super-)paramagnetic nanoparticles to obtain a space- and often also time-…
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset
Tobias Kluth, Bangti Jin
Magnetic particle imaging is an emerging quantitative imaging modality, exploiting the unique nonlinear magnetization phenomenon of superparamagnetic iron oxide nanoparticles for r…
Towards Accurate Modeling of the Multidimensional Magnetic Particle Imaging Physics
Tobias Kluth, Patryk Szwargulski, Tobias Knopp
The image reconstruction problem of the tomographic imaging technique magnetic particle imaging (MPI) requires the solution of a linear inverse problem. One prerequisite for this t…
Regularization by architecture: A deep prior approach for inverse problems
Sören Dittmer, Tobias Kluth, Peter Maass +1
The present paper studies so-called deep image prior (DIP) techniques in the context of ill-posed inverse problems. DIP networks have been recently introduced for applications in i…