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Connectomics in NeuroImaging : Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / edited by Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent Munsell.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11083
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11083
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer vision.
- Computer arithmetic and logic units.
- Computer science-Mathematics.
- Mathematical statistics.
- Artificial Intelligence.
- Computer Vision.
- Arithmetic and Logic Structures.
- Probability and Statistics in Computer Science.
- Local Subjects:
- Artificial Intelligence.
- Computer Vision.
- Arithmetic and Logic Structures.
- Probability and Statistics in Computer Science.
- Physical Description:
- 1 online resource (X, 147 pages) : 63 illustrations, 51 illustrations in color.
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Towards Ultra-high Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data
- FOD-based Registration for Susceptibility Distortion Correction in Connectome Imaging
- GIFE: Efficient and Robust Group-wise Isometric Fiber Embedding
- Multi-Modal Brain Tensor Factorization: Preliminary Results with AD Patients
- Intact Connectional Morphometricity Learning Using Multi-View Morphological Brain Networks with Application to Autism Spectrum Disorder
- Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth
- Heritability Estimation of Reliable Connectomic Features
- Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains
- Riemannian Regression and Classification Models of Brain Networks Applied to Autism
- Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields
- Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States
- Towards Effective Functional Connectome Fingerprinting
- Connectivity-Driven Brain Parcellation via Consensus Clustering
- GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion
- Structural Subnetwork Evolution Across the Lifespan: Rich-club, Feeder, Seeder.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-00755-3
- 9783030007553
- Access Restriction:
- Restricted for use by site license.
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