Titlebook: Connectomics in NeuroImaging; Second International Guorong Wu,Islem Rekik,Brent Munsell Conference proceedings 2018 Springer Nature Switzer

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https://doi.org/10.1007/0-387-28698-5s with relatively simple and interpretable models. On ABIDE Preprocessed dataset, our methods classify autism versus control subjects with 71.1% accuracy. We also show that Riemannian methods beat baseline in regressing connectome features to subject autism severity scores.

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Riemannian Regression and Classification Models of Brain Networks Applied to Autism,s with relatively simple and interpretable models. On ABIDE Preprocessed dataset, our methods classify autism versus control subjects with 71.1% accuracy. We also show that Riemannian methods beat baseline in regressing connectome features to subject autism severity scores.

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Conference proceedings 2018th MICCAI 2018 in Granada, Spain, in September 2018.. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with?new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and g

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Understanding Sleep and Dreamingowed by a non-rigid registration is proposed. Our approach has been successfully applied to 278 histological sections of a rat brain and the performance has been quantitatively evaluated using manually placed landmarks by an expert.

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Theories of Dreams and Dreamingrcodes are significantly correlated to individual differences in cognition and personality, with high reproducibility. Topological data analyses, including approaches to model connectivity in the time domain, are promising tools for representing high-level aspects of cognition, development, and neuropathology.

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Theories of Dreams and Dreamingsion and the motor network identification against two baselines: a standard functional parcellation with no reassignment and a recently published method with a purely data-driven reassignment procedure. Our method outperforms the original functional parcellation in intra-network cohesion and both methods in motor network identification.

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Prologue A Visit to a Sleep and Dreams Labhe simplified connectome in a biological sex classification task. We find that the parcellation based-atlas computed using a greedy search at a hierarchical depth 3 outperforms all other parcellation-based atlases as well as the standard Dessikan-Killiany anatomical atlas in all three assessments.

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Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data,owed by a non-rigid registration is proposed. Our approach has been successfully applied to 278 histological sections of a rat brain and the performance has been quantitatively evaluated using manually placed landmarks by an expert.

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