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Connectomics in NeuroImaging

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Cover of 'Connectomics in NeuroImaging'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data
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    Chapter 2 FOD-Based Registration for Susceptibility Distortion Correction in Connectome Imaging
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    Chapter 3 GIFE: Efficient and Robust Group-Wise Isometric Fiber Embedding
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    Chapter 4 Multi-modal Brain Tensor Factorization: Preliminary Results with AD Patients
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    Chapter 5 Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder
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    Chapter 6 Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth
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    Chapter 7 Heritability Estimation of Reliable Connectomic Features
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    Chapter 8 Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains
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    Chapter 9 Riemannian Regression and Classification Models of Brain Networks Applied to Autism
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    Chapter 10 Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields
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    Chapter 11 Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States
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    Chapter 12 Towards Effective Functional Connectome Fingerprinting
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    Chapter 13 Connectivity-Driven Brain Parcellation via Consensus Clustering
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    Chapter 14 GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion
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    Chapter 15 Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder
Attention for Chapter 15: Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder
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