RS
Ralf Schmidt
3 records found
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Purpose: To develop an accelerated postprocessing pipeline for reproducible and efficient assessment of white matter lesions using quantitative magnetic resonance fingerprinting (MRF) and deep learning. Methods: MRF using echo-planar imaging (EPI) scans with varying repetition an
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Background: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to T1, T2∗, NAWM, and GM- probability maps. Methods: We performed MRF-EPI measureme
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This chapter describes ICT solutions for planning, maintaining and assessing urban energy systems. There is no single urban energy system, but - like the city itself - a system of sub-systems with different scales, spatially ranging from buildings to blocks, districts and to the
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