activity
20202026
most citedLevenberg-Marquardt algorithm for acousto-electric tomography based on the complete electrode model

3 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

physics.med-ph2026

Quantitative Multi-Modal Optical Coherence Photoacoustic Elastography

Ekaterina Sherina, Lisa Krainz, Wolfgang Drexler +1

We present a novel multi-modal optical coherence photoacoustic elastography framework, which combines two imaging modalities, optical coherence tomography and photoacoustic tomogra…

math.NA2026

On a PDE-based material parameter identification problem with contact constraints

Simon Hubmer, Stefan Kindermann, Ekaterina Sherina

We consider the identification of a scalar coefficient in a PDE-based parameter estimation problem with contact constraints. The considered problem can be used as an idealized mode…

math.NA2025

On the Intensity-based Inversion Method for Quantitative Quasi-Static Elastography

Ekaterina Sherina, Simon Hubmer

In this paper, we consider the intensity-based inversion method (IIM) for quantitative material parameter estimation in quasi-static elastography. In particular, we consider the pr…

math.NA2024

On Phase Unwrapping via Digital Wavefront Sensors

Simon Hubmer, Victoria Laidlaw, Ronny Ramlau +2

In this paper, we derive a new class of methods for the classic 2D phase unwrapping problem of recovering a phase function from its wrapped form. For this, we consider the wrapped…

physics.optics2023

Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach

Simon Hubmer, Ekaterina Sherina, Ronny Ramlau +2

In this paper, we consider subaperture-based approaches for the digital aberration correction (DAC) of optical coherence tomography (OCT) images. In particular, we introduce a math…

math.NA2022

A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration

Simon Hubmer, Ekaterina Sherina, Stefan Kindermann +1

The choice of a suitable regularization parameter is an important part of most regularization methods for inverse problems. In the absence of reliable estimates of the noise level,…