activity
20182023
most citedThe Inverse Problem of Magnetorelaxometry Imaging

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 1 cited

Scatter-based common spatial patterns -- a unified spatial filtering framework

Jinlong Dong, Milana Komosar, Johannes Vorwerk +2

The common spatial pattern (CSP) approach is known as one of the most popular spatial filtering techniques for EEG classification in motor imagery (MI) based brain-computer interfa…

eess.SP2023

Online functional connectivity analysis of large all-to-all networks

Lorenz Esch, Jinlong Dong, Matti Hämäläinen +3

The analysis of EEG/MEG functional connectivity has become an important tool in neural research. Especially the high time resolution of EEG/MEG enables important insight into the f…

physics.med-ph2019★ 5 cited

European research on magnetic nanoparticles for biomedical applications: standardisation aspects

Peter Schier, Craig Barton, Simo Spassov +12

Magnetic nanoparticles have many applications in biomedicine and other technical areas. Despite their huge economic impact, there are no standardised procedures available to measur…

math.NA2018

Douglas-Rachford Algorithm for Magnetorelaxometry Imaging using Random and Deterministic Activations

Markus Haltmeier, Gerhard Zangerl, Peter Schier +1

Magnetorelaxometry imaging is a novel tool for quantitative determination of the spatial distribution of magnetic nanoparticle inside an organism. The use of multiple excitation pa…

math.NA2018★ 8 cited

The Inverse Problem of Magnetorelaxometry Imaging

Lea Föcke, Daniel Baumgarten, Martin Burger

The aim of this paper is to provide a solid mathematical discussion of the inverse problem in Magnetorelaxometry Imaging (MRXI), a currently developed technique for quantitative bi…