Description: Connectomics in NeuroImaging by Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung This book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 13 full papers presented were carefully reviewed and selected from 14 submissions. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with 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 comparison studies as well as in various neuroimaging applications. Table of Contents Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinsons Disease Diagnosis.- A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity.- Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States.- Covariance Shrinkage for Dynamic Functional Connectivity.- Rapid Acceleration of the Permutation Test via Transpositions.- Heat kernels with functional connectomes reveal atypical energy transport in peripheral subnetworks in autism.- A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences.- Adversarial Connectome Embedding for Mild Cognitive Impairment Identification using Cortical Morphological Networks.- A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network.- Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation.-Constraining Disease Progression Models Using Subject Specific Connectivity Priors.- Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging.- Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An application to autism. Details ISBN3030323900 Pages 139 Year 2019 ISBN-10 3030323900 ISBN-13 9783030323905 Publication Date 2019-10-18 Short Title Connectomics in NeuroImaging Language English Format Paperback Subtitle Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings DOI 10.1007/978-3-030-32391-2 Series Number 11848 UK Release Date 2019-10-18 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Illustrations 51 Illustrations, color; 2 Illustrations, black and white; X, 139 p. 53 illus., 51 illus. in color. Author Ai Wern Chung Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2019 Edited by Ai Wern Chung DEWEY 616.80475 Audience Professional & Vocational Series Lecture Notes in Computer Science We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:133000946;
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ISBN-13: 9783030323905
Book Title: Connectomics in NeuroImaging
Item Height: 235 mm
Item Width: 155 mm
Author: Markus D. Schirmer, Ai Wern Chung, Minjeong Kim, Archana Venkataraman, Islem Rekik
Publication Name: Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Format: Paperback
Language: English
Publisher: Springer Nature Switzerland Ag
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 244 g
Number of Pages: 139 Pages
