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Titlebook: Connectomics in NeuroImaging; First International Guorong Wu,Paul Laurienti,Brent C. Munsell Conference proceedings 2017 Springer Internat

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發(fā)表于 2025-3-25 06:52:22 | 只看該作者
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發(fā)表于 2025-3-25 10:29:29 | 只看該作者
Connectomics in NeuroImaging978-3-319-67159-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-25 14:36:53 | 只看該作者
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/235641.jpg
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發(fā)表于 2025-3-25 21:38:44 | 只看該作者
Conference proceedings 2017apers 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..
26#
發(fā)表于 2025-3-26 01:38:26 | 只看該作者
The uniform output regulation problem,ily given by widespread network differences, or the difference lies in specific local connections which are just captured by global metrics. Namely, whether miswiring of brain connections related to ASD is localized or diffuse. The presented results suggest that the widespread hypothesis is more likely.
27#
發(fā)表于 2025-3-26 05:37:24 | 只看該作者
Upon What Does the Turtle Stand?er spectral densities. Experimental results show significant increases in pairwise node to node correlations and coherences following alignment. We apply this method for finding group differences in connectivity between patients with major depression and healthy controls.
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