Connectomics in NeuroImaging [electronic resource] : First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings / edited by Guorong Wu, Paul Laurienti, Leonardo Bonilha, Brent C. Munsell.
Contributor(s): Wu, Guorong [editor.]
| Laurienti, Paul [editor.] | Bonilha, Leonardo [editor.] | Munsell, Brent C [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10511Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: VIII, 171 p. 67 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319671598.Subject(s): Computer vision | Artificial intelligence | Computer graphics | Pattern recognition systems | Computer engineering | Computer networks | Computer science -- Mathematics | Discrete mathematics | Computer Vision | Artificial Intelligence | Computer Graphics | Automated Pattern Recognition | Computer Engineering and Networks | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the First International Workshop on Connectomics in NeuroImaging, CNI 2017, held in conjunction with MICCAI 2017 in Quebec City, Canada, in September 2017. The 19 full papers presented were carefully reviewed and selected from 26 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.
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This book constitutes the refereed proceedings of the First International Workshop on Connectomics in NeuroImaging, CNI 2017, held in conjunction with MICCAI 2017 in Quebec City, Canada, in September 2017. The 19 full papers presented were carefully reviewed and selected from 26 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.
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