6 citations · 16 across the 7 of their papers we have counts for
10 papers
Sampling and resolution in sparse view photoacoustic tomography
Markus Haltmeier, Daniel Obmann, Karoline Felbermayer +2
We investigate resolution in photoacoustic tomography (PAT). Using Shannon theory, we investigate the theoretical resolution limit of sparse view PAT theoretically, and empirically…
Relaxed data-consistency for limited bandwidth photoacoustic tomography
Daniel Obmann, Markus Haltmeier
We study the effect of using weaker forms of data-fidelity terms in generalized Tikhonov regularization accounting for model uncertainties. We show that relaxed data-consistency co…
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Matthias Schwab, Mathias Pamminger, Christian Kremser +3
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstructio…
Convergence analysis of equilibrium methods for inverse problems
Daniel Obmann, Gyeongha Hwang, Markus Haltmeier
Solving inverse problems \(Ax = y\) is central to a variety of practically important fields such as medical imaging, remote sensing, and non-destructive testing. The most successfu…
Convergence rates for critical point regularization
Daniel Obmann, Markus Haltmeier
Tikhonov regularization involves minimizing the combination of a data discrepancy term and a regularizing term, and is the standard approach for solving inverse problems. The use o…
Convergence analysis of critical point regularization with non-convex regularizers
Daniel Obmann, Markus Haltmeier
One of the key assumptions in the stability and convergence analysis of variational regularization is the ability of finding global minimizers. However, such an assumption is often…