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Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity., , , , , , , and . NeuroImage, 56 (3): 1453-1462 (2011)Automatic morphological assessment in a transgenic CACNA1A knockin migraine mouse model in in-vivo high-resolution MRM., , , , , , , , , and . ISBI, page 406-409. IEEE, (2006)Deformation texture-based features for classification in Alzheimer's disease., , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866927. SPIE, (2013)GAMEs: Growing and adaptive meshes for fully automatic shape modeling and analysis., , , , , and . Medical Image Anal., 11 (3): 302-314 (2007)Shape differences of the brain ventricles in Alzheimer's disease., , , , , and . NeuroImage, 32 (3): 1060-1069 (2006)Quantitative Methods for Comparisons between Velocity Encoded MR-Measurements and Finite Element Modeling in Phantom Models., , , , , , , , and . International Conference on Computational Science (3), volume 2331 of Lecture Notes in Computer Science, page 255-264. Springer, (2002)Functional Connectivity Changes and Executive and Social Problems in Neurofibromatosis Type I., , , , , , and . Brain Connect., 5 (5): 312-320 (2015)Elevated brain iron is independent from atrophy in Huntington's Disease., , , , , , , , , and . NeuroImage, 61 (3): 558-564 (2012)The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain., , , , , , , , , and . Medical Image Anal., (2017)Fully automatic segmentation of white matter hyperintensities in MR images of the elderly., , , , , , and . NeuroImage, 28 (3): 607-617 (2005)