139 citations · 555 across the 26 of their papers we have counts for
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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-…
Ground Truth Free Denoising by Optimal Transport
Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
We present a learned unsupervised denoising method for arbitrary types of data, which we explore on images and one-dimensional signals. The training is solely based on samples of n…
Conditional Normalizing Flows for Low-Dose Computed Tomography Image Reconstruction
Alexander Denker, Maximilian Schmidt, Johannes Leuschner +2
Image reconstruction from computed tomography (CT) measurement is a challenging statistical inverse problem since a high-dimensional conditional distribution needs to be estimated.…
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging
Tobias Kluth, Christine Bathke, Ming Jiang +1
One important property of imaging modalities and related applications is the resolution of image reconstructions which relies on various factors such as instrumentation or data pro…
Error analysis for filtered back projection reconstructions in Besov spaces
Matthias Beckmann, Peter Maass, Judith Nickel
Filtered back projection (FBP) methods are the most widely used reconstruction algorithms in computerized tomography (CT). The ill-posedness of this inverse problem allows only an…