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Titlebook: Computational Diffusion MRI; MICCAI Workshop, Ath Andrea Fuster,Aurobrata Ghosh,Marco Reisert Conference proceedings 2017 Springer Internat

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Manfred Bornhofen,Martin C. Bornhofenssessment of the resulting cortical parcellation demonstrates several spatially coherent clusters in areas corresponding to well known functional anatomical areas. In addition, it exhibits some cluster boundaries that correlate with independently derived myelin mapping data for the same set of subje
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Manfred Bornhofen,Martin C. Bornhofenof the diffusion MRI measures, giving the method additional descriptive power. We apply our regularized regression approach to classify Alzheimer’s disease patients and healthy controls in the ADNI dataset, based on their diffusion MRI data.
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Besteuerungsprinzipien und Rechtsformenhis two-step pattern might be linked with a neuroinflammatory response that may be occurring prior to, or during microstructural breakdown. Using our approach, we are able to provide—for the first time—preliminary and valuable insight on relevant biomarkers that may directly describe the underlying
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Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion,f a distribution and is hence robustness to outliers. Our method is therefore in effect seeking the most probable signal profile at each voxel given a distribution of profiles. Experimental results confirm that our method yields cleaner fiber orientation distribution functions with less artifacts ca
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