Titlebook: Computational Diffusion MRI; MICCAI Workshop, Qué Enrico Kaden,Francesco Grussu,Jelle Veraart Conference proceedings 2018 Springer Internat

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Zinsen bei der Einkommensteuer,). Also, the linear interpolation of the diffusion data does not outperform the less expensive nearest neighbour approach. As opposed to that, using a linear model on top of the output of the classifiers is beneficial and—in combination with at least 200 classes—resulted in a similar performance as

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,Änderung eines Steuerbescheids,e fiber tracking algorithms across all microstructural indices. The best solution was provided by using an high angular resolution fODF estimation method and the most restrictive deterministic tractography algorithm.

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Dauerschuld bei der Gewerbesteuer,layer healthy controls, reveal significant and spatially-consistent FFDD anomalies. Comparing our method with along-tract FA analysis shows improved sensitivity to subtle structural anomalies in football players over standard FA measurements.

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1612-3786 levant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics..978-3-030-08866-8978-3-319-73839-0Series ISSN 1612-3786 Series E-ISSN 2197-666X

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Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Mthermore, since many models and assumptions are used for quantification of water diffusion, metabolite diffusion may serve to generate a-priori information for model selection..In this chapter, we survey the state-of-the-art methods that have been developed for the advanced analysis of DW-MRS data a

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A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation from a general multi-compartment formulation, four simplified two-parameters models are considered: Fiber ORientation Estimated using Continuous Axially Symmetric Tensors (FORECAST), Multi Compartment Microscopic Diffusion Imaging (MC-MDI), Neurite Orientation Dispersion and Density Imaging (NODDI)