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

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發(fā)表于 2025-3-21 16:33:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Connectomics in NeuroImaging
副標題Second International
編輯Guorong Wu,Islem Rekik,Brent Munsell
視頻videohttp://file.papertrans.cn/236/235640/235640.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Connectomics in NeuroImaging; Second International Guorong Wu,Islem Rekik,Brent Munsell Conference proceedings 2018 Springer Nature Switzer
描述.This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with 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 group comparison studies as well as in various neuroimaging applications..
出版日期Conference proceedings 2018
關鍵詞Artificial intelligence; Brain Connectivity; Classification; Connectome; Connectomics; Diffusion MRI; Elec
版次1
doihttps://doi.org/10.1007/978-3-030-00755-3
isbn_softcover978-3-030-00754-6
isbn_ebook978-3-030-00755-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Theories of Dreams and Dreamingrameworks are not suitable for GIFE due to the massive fiber tracts and the registration errors in the original GiTA framework. To address these issues, we propose a novel method called multidimensional extrapolating (MDE) to achieve GIFE. In our experiment, simulation results show quantitatively th
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Theories of Dreams and Dreamingion, which might not be robust to outliers and constrains the locality of data to a fixed bandwidth. To address these limitations, we propose the . (ICBM), a metric that captures the variation of . changes in brain morphology. In particular, we use . estimated from multiple cortical attributes (e.g.
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Understanding Sleep and Dreaming360 brain regions in the Glasser parcellation, we observed .5% of them with significantly high heritability in fractional anisotropy, fiber length or fiber number. All the tested network level measures, capturing the network integrality, segregation or resilience, are highly heritable, with variance
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Understanding Sleep and Dreamingblicly available life-span study. We demonstrate changes in rich-club membership with age alongside a shift in importance from ’peripheral’ seeder to feeder subnetworks. Our results show a refinement within the rich-club structure (increase in transitivity and betweenness centrality), as well as inc
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