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

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,Using Multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior,of 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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Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Sted in early stages of PD and is implicated in other non-motor symptoms of PD might be differentially affected in PD and SWEDD group. The diffusion imaging data from 39 PD, 28 SWEDD and 21 normal subjects were reconstructed in the MNI space using q-space diffeomorphic reconstruction (QSDR) to assess

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Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-Shell Diffusion MRI,his 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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Working Memory Function in Recent-Onset Schizophrenia Patients Associated with White Matter Microstocal connectomes with a study variable along the fiber pathways themselves instead of finding the difference in the whole fiber pathways. This study showed that lesser integrity of some fiber tracts like the arcuate fasciculus, the inferior longitudinal fasciculus, the body of corpus callosum and al

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Conference proceedings 2017e papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover a wide range of topics, from fundamental theoretical work on mathematical modeling, to the dev

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978-3-319-85326-0Springer International Publishing AG 2017

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Manfred Bornhofen,Martin C. Bornhofens have been joined by stretched exponentials, HARDI methods, compartment-based microstructure models and effective medium theories. At the same time, the field has experienced a cultural shift away from MR physics and towards computer science, emphasising Bayesian statistics and Machine Learning. Th

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