collaborators

10 papers

cs.CV2026

MPISuperRes-PnP: A Super-Resolution Zero-Shot Plug-and-Play Reconstruction Algorithm for Magnetic Particle Imaging

Vladyslav Gapyak, Thomas März, Andreas Weinmann

Magnetic Particle Imaging (MPI) is an emerging medical imaging modality. MPI is based on the non-linear response of magnetic nanoparticles to an applied magnetic field and avoids i…

cs.CV2026

Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding

Ana-Maria Pangeva, Yassine Ferhi, Alexander Geng +3

In quantum image processing, a fundamental step is encoding classical image data into quantum states. This can be achieved using methods such as Flexible Representation of Quantum…

cs.CV2026

Flood Mapping from RGB imagery using a Vision Foundation Model

Vladyslav Polushko, Tilman Bucher, Ronald Rösch +3

Timely, high-resolution maps of flood extent around settlements are essential for emergency response and damage assessment. We consider airborne RGB imagery for flood mapping as it…

math.NA2026

Debye Relaxation in Model-Based Multi-Dimensional Magnetic Particle Imaging

Vladyslav Gapyak, Thomas März, Andreas Weinmann

Model-based reconstruction approaches for the medical imaging modality Magnetic Particle Imaging (MPI) are typically based on the Langevin model, which assumes instantaneous alignm…

math.NA2025

Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging

Thomas März, Vladyslav Gapyak, Andreas Weinmann

Magnetic Particle Imaging (MPI) is a recent imaging modality where superparamagnetic nanoparticles are employed as tracers. The reconstruction task is to obtain the spatial particl…

math.NA2025

Reconstruction Formulae for 3D Field-Free Line Magnetic Particle Imaging

Vladyslav Gapyak, Thomas März, Andreas Weinmann

Magnetic Particle Imaging (MPI) is a promising noninvasive in vivo imaging modality that makes it possible to map the spatial distribution of superparamagnetic nanoparticles by exp…