8 citations · 11 across the 9 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
Fast Trajectory-Independent Model-Based Reconstruction Algorithm for Multi-Dimensional Magnetic Particle Imaging
Vladyslav Gapyak, Thomas März, Andreas Weinmann
Magnetic Particle Imaging (MPI) is a promising tomographic technique for visualizing the spatio-temporal distribution of superparamagnetic nanoparticles, with applications ranging…
Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies
Vladyslav Polushko, Damjan Hatic, Ronald Rösch +3
Floods cause serious problems around the world. Responding quickly and effectively requires accurate and timely information about the affected areas. The effective use of Remote Se…
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support
Vladyslav Polushko, Alexander Jenal, Jens Bongartz +6
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely…
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
Tim Selig, Thomas März, Martin Storath +1
Computed tomography from a low radiation dose (LDCT) is challenging due to high noise in the projection data. Popular approaches for LDCT image reconstruction are two-stage methods…
An -Plug-and-Play Approach for MPI Using a Zero Shot Denoiser with Evaluation on the 3D Open MPI Dataset
Vladyslav Gapyak, Corinna Rentschler, Thomas März +1
Objective: Magnetic particle imaging (MPI) is an emerging medical imaging modality which has gained increasing interest in recent years. Among the benefits of MPI are its high temp…
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…