343 citations · 746 across the 10 of their papers we have counts for
9 papers
Deep learning-based radiointerferometric imaging with GAN-aided training
F. Geyer, K. Schmidt, J. Kummer +7
Radio interferometry invariably suffers from an incomplete coverage of the spatial Fourier space, which leads to imaging artifacts. The current state-of-the-art technique is to cre…
Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
Lennart Rustige, Janis Kummer, Florian Griese +7
Machine learning techniques that perform morphological classification of astronomical sources often suffer from a scarcity of labelled training data. Here, we focus on the case of…
Radio Galaxy Classification with wGAN-Supported Augmentation
Janis Kummer, Lennart Rustige, Florian Griese +6
Novel techniques are indispensable to process the flood of data from the new generation of radio telescopes. In particular, the classification of astronomical sources in images is…
In-Vitro MPI-Guided IVOCT Catheter Tracking in Real Time for Motion Artifact Compensation
Florian Griese, Sarah Latus, Matthias Schlüter +4
Purpose: Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts…
Bimodal intravascular volumetric imaging combining OCT and MPI
Sarah Latus, Florian Griese, Matthias Schlüter +6
Intravascular optical coherence tomography (IVOCT) is a catheter based image modality allowing for high resolution imaging of vessels. It is based on a fast sequential acquisition…
Simultaneous Magnetic Particle Imaging and Navigation of large superparamagnetic nanoparticles in bifurcation flow experiments
Florian Griese, Tobias Knopp, Cordula Gruettner +5
Magnetic Particle Imaging (MPI) has been successfully used to visualize the distribution of superparamagnetic nanoparticles within 3D volumes with high sensitivity in real time. Si…
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning
Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese +3
Magnetic particle imaging (MPI) data is commonly reconstructed using a system matrix acquired in a time-consuming calibration measurement. The calibration approach has the importan…
Moving Table Magnetic Particle Imaging: A stepwise approach preserving high spatio-temporal resolution
Patryk Szwargulski, Nadine Gdaniec, Matthias Graeser +5
Magnetic Particle Imaging (MPI) is a highly sensitive imaging method that enables the visualization of magnetic tracer materials with a temporal resolution of more than 46 volumes…
Human-sized Magnetic Particle Imaging for Brain Applications
M. Gräser, F. Thieben, P. Szwargulski +11
Determining the brain perfusion is an important task for the diagnosis and treatment of vascular diseases such as occlusions and intracerebral haemorrhage. Even after successful di…