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20172022
most citedSpatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data

87 citations · 253 across the 8 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

physics.med-ph2019★ 77 cited

3D-Imaging and Quantification of Magnetic Nanoparticle Uptake by Living Cells

Hendrik Paysen, Norbert Loewa, Anke Stach +7

Magnetic particle imaging (MPI) is a non-invasive, non-ionizing imaging technique for the visualization and quantification of magnetic nanoparticles (MNPs). The technique is especi…

eess.IV2019★ 87 cited

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data

Andreas Kofler, Marc Dewey, Tobias Schaeffter +2

In this work we reduce undersampling artefacts in two-dimensional () golden-angle radial cine cardiac MRI by applying a modified version of the U-net. We train the network on $…