activity
20122025
most citedJoint Image Reconstruction and Segmentation Using the Potts Model

114 citations · 649 across the 22 of their papers we have counts for

collaborators

27 papers

stat.ML2025

Fast and Exact Least Absolute Deviations Line Fitting via Piecewise Affine Lower-Bounding

Stefan Volz, Martin Storath, Andreas Weinmann

Least-absolute-deviations (LAD) line fitting is robust to outliers but computationally more involved than least squares regression. Although the literature includes linear and near…

stat.ME2023★ 1 cited

Degrees-of-freedom penalized piecewise regression

Stefan Volz, Martin Storath, Andreas Weinmann

Many popular piecewise regression models rely on minimizing a cost function on the model fit with a linear penalty on the number of segments. However, this penalty does not take in…

math.NA2023★ 11 cited

Variational Model-Based Reconstruction Techniques for Multi-Patch Data in Magnetic Particle Imaging

Vladyslav Gapyak, Thomas März, Andreas Weinmann

Magnetic Particle Imaging is an emerging imaging modality through which it is possible to detect tracers containing superparamagnetic nanoparticles. The exposure of the particles t…

cs.CV2023

Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data

Vanessa Suessle, Mimi Arandjelovic, Ammie K. Kalan +17

The manual processing and analysis of videos from camera traps is time-consuming and includes several steps, ranging from the filtering of falsely triggered footage to identifying…

math.NA2022★ 5 cited

Smoothing splines for discontinuous signals

Martin Storath, Andreas Weinmann

Smoothing splines are twice differentiable by construction, so they cannot capture potential discontinuities in the underlying signal. In this work, we consider a special case of t…

math.NA2020

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography

Lukas Kiefer, Stefania Petra, Martin Storath +1

We consider reconstructing multi-channel images from measurements performed by photon-counting and energy-discriminating detectors in the setting of multi-spectral X-ray computed t…