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Regional DTI differences in multiple sclerosis patients., , , , , , , and . NeuroImage, 44 (4): 1397-1403 (2009)Inter-subject variability of resting state brain activity explored using a data and model-driven approach in combination with EEG-FMRI., , , , , , , and . ISBI, page 608-611. IEEE, (2008)A Data and Model-Driven Approach to Explore Inter-Subject Variability of Resting-State Brain Activity Using EEG-fMRI., , , , , , , and . J. Sel. Topics Signal Processing, 2 (6): 944-953 (2008)Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability., , , , , , , , , and . NeuroImage, 30 (1): 203-213 (2006)Signal processing aspects of simultaneously recorded EEG, PULSE and fMRI., , , , , and . ISBI, page 1064-1067. IEEE, (2006)The Relation between Alpha Band Power, Heart Rate and Fmri., , , , , , and . ISBI, page 436-439. IEEE, (2007)The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment., , , , , , , , , and 11 other author(s). NeuroImage, (2017)Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study., , , , , , , , , and 15 other author(s). NeuroImage, (2017)