Titlebook: Connectomics in NeuroImaging; Third International Markus D. Schirmer,Archana Venkataraman,Ai Wern Ch Conference proceedings 2019 Springer

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A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application oe explored multiple machine learning algorithms that include a Siamese neural network and several classification algorithms. From our experiments, we observed that the Siamese network outperformed other classification models, with an FC fingerprinting accuracy of ..

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Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation, investigated the impact of parcellation granularity on the test-retest reliability. We observed that the ICCs for geometric parcellation are better than those of a data-driven parcellation, suggesting that the FCs computed using regular parcels in the geometric atlases are more reliable than those computed using a data-driven parcellation.

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Conference proceedings 2019al 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..

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0302-9743 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..978-3-030-32390-5978-3-030-32391-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2019 MICCAI 2019 in Shenzhen, China, in October 2019..The 13 full papers presented were carefully reviewed and selected from 14 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group

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