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Global fiber reconstruction becomes practical., , , , , and . NeuroImage, 54 (2): 955-962 (2011)Visual analysis of regional myocardial motion anomalies in longitudinal studies., , , , , , , , , and 3 other author(s). Computers & Graphics, (2019)Data-driven quantification and classification of diffusion and perfusion magnetic resonance data.. University of Freiburg, (2010)Visual Analysis of Regional Anomalies in Myocardial Motion., , , , , , , , , and 3 other author(s). VCBM, page 135-144. Eurographics Association, (2018)Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data., , , , , and . Comp. in Bio. and Med., (2018)Combining functional and anatomical connectivity reveals brain networks for auditory language comprehension., , , , , , , , , and 4 other author(s). NeuroImage, 49 (4): 3187-3197 (2010)Connecting and merging fibres: Pathway extraction by combining probability maps., , , , , , and . NeuroImage, 43 (1): 81-89 (2008)Fully automated classification of HARDI in vivo data using a support vector machine., , , , , and . NeuroImage, 46 (3): 642-651 (2009)3D superquadric glyphs for visualizing myocardial motion., , , , and . SciVis, page 143-144. IEEE Computer Society, (2015)Contour tracking and probabilistic segmentation of tissue phase mapping MRI., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978404. SPIE, (2016)