Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015; 18th International C Nassir Navab,Joachim Hornegger,Alejandro Fr

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Exploiting the Phase in Diffusion MRI for?Microstructure Recovery: Towards Axonal Tortuosity via Asyn such pathological scenarios. Furthermore, we validate these results in-silico through 3D Monte-Carlo simulations of white matter tissue that has experienced different degrees of elongation/compression.

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0302-9743 nal Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have bee

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q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans diffusion MRI data processing to a single optimized step. This method allows obtaining scalar measures from advanced models at twelve-fold reduced scan time and detecting abnormalities without using diffusion models.

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Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimationhe Fokker-Planck equation, which is an equivalent representation of a Wiener process in terms of a partial differential equation. In experiments we show that the proposed approach leads to a symmetric and robust connectivity measure.

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