Connectomics in NeuroImaging Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Guorong Wu (Editore), Islem Rekik (Editore), Markus D. Schirmer (Editore), Ai Wern Chung (Editore), Brent Munsell (Editore), Isle Rekik (Editore), Markus D Schirmer et al (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 01.01.2018
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783030007546
• ISBN: 978-3-0-3000754-6
• Numero di pagine: 147
• Illustrazioni: X, 147 p. 63 illus., 51 illus. in color.
• Dimensioni (della confezione): 15.8 x 0.6 x 23.3 cm
• Peso (della confezione): 254 g
• Serie: Lecture Notes in Computer Science > .11083; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: C, Computerhardware, machine learning, Artificial Intelligence, reconstruction, Wahrscheinlichkeitsrechnung und Statistik, Maschinelles Sehen, Bildverstehen, Mathematik für Informatiker, computer science, Computer Vision, Network Analysis, Image Processing and Computer Vision, Algorithms & data structures, Mathematical & statistical software, Maths for computer scientists, Mathematical statistics, Probability and Statistics in Computer Science, Optical data processing, Image processing, Computer architecture & logic design, Arithmetic and logic units, Computer, Arithmetic and Logic Structures, Network Visualization, White matter tractography, Structural Connectivity