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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

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Cover of 'Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics'

Table of Contents

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    Book Overview
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    Chapter 1 Classifying Phenotypes Based on the Community Structure of Human Brain Networks
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    Chapter 2 Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks
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    Chapter 3 Topology of Surface Displacement Shape Feature in Subcortical Structures
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    Chapter 4 Graph Geodesics to Find Progressively Similar Skin Lesion Images
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    Chapter 5 Uncertainty Estimation in Vascular Networks
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    Chapter 6 Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing
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    Chapter 7 Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field
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    Chapter 8 Bridge Simulation and Metric Estimation on Landmark Manifolds
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    Chapter 9 White Matter Fiber Segmentation Using Functional Varifolds
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    Chapter 10 Prediction of the Progression of Subcortical Brain Structures in Alzheimer’s Disease from Baseline
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    Chapter 11 A New Metric for Statistical Analysis of Rigid Transformations: Application to the Rib Cage
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    Chapter 12 Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation
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    Chapter 13 Exact Function Alignment Under Elastic Riemannian Metric
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    Chapter 14 Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics
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    Chapter 15 Computational Anatomy in Theano
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    Chapter 16 Rank Constrained Diffeomorphic Density Motion Estimation for Respiratory Correlated Computed Tomography
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    Chapter 17 Efficient Parallel Transport in the Group of Diffeomorphisms via Reduction to the Lie Algebra
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    Chapter 18 Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition
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    Chapter 19 A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics
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    Chapter 20 Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm
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    Chapter 21 Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics Data
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    Chapter 22 Coupled Dimensionality-Reduction Model for Imaging Genomics
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Title
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-67675-3
ISBNs
978-3-31-967674-6, 978-3-31-967675-3
Editors

M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer

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The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Student > Master 4 15%
Student > Bachelor 4 15%
Researcher 3 11%
Unspecified 1 4%
Other 2 7%
Unknown 7 26%
Readers by discipline Count As %
Engineering 7 26%
Computer Science 5 19%
Mathematics 2 7%
Medicine and Dentistry 2 7%
Social Sciences 1 4%
Other 3 11%
Unknown 7 26%