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Computational Diffusion MRI and Brain Connectivity

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Cover of 'Computational Diffusion MRI and Brain Connectivity'

Table of Contents

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    Book Overview
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    Chapter 1 Comparing Simultaneous Multi-slice Diffusion Acquisitions
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    Chapter 2 Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI
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    Chapter 3 Model-Based Super-Resolution of Diffusion MRI
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    Chapter 4 A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging
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    Chapter 5 The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions
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    Chapter 6 Diffusion Propagator Estimation Using Radial Basis Functions
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    Chapter 7 A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection
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    Chapter 8 Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation
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    Chapter 9 A Novel Riemannian Metric for Geodesic Tractography in DTI
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    Chapter 10 Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms
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    Chapter 11 Choosing a Tractography Algorithm: On the Effects of Measurement Noise
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    Chapter 12 Uncertainty in Tractography via Tract Confidence Regions
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    Chapter 13 Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap
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    Chapter 14 Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions
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    Chapter 15 Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Using a PCA Based Dissimilarity Metric
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    Chapter 16 Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis
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    Chapter 17 Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children
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    Chapter 18 Disrupted Brain Connectivity in Alzheimer’s Disease: Effects of Network Thresholding
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    Chapter 19 Computational Diffusion MRI and Brain Connectivity
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    Chapter 20 Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data
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    Chapter 21 Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging
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    Chapter 22 Global Changes in the Connectome in Autism Spectrum Disorders
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48 Mendeley
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Title
Computational Diffusion MRI and Brain Connectivity
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-02475-2
ISBNs
978-3-31-902474-5, 978-3-31-902475-2, 978-3-31-937684-4
Editors

Thomas Schultz, Gemma Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Netherlands 1 2%
United States 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 9 19%
Student > Master 6 13%
Professor > Associate Professor 5 10%
Student > Doctoral Student 5 10%
Other 10 21%
Readers by discipline Count As %
Medicine and Dentistry 12 25%
Computer Science 8 17%
Psychology 8 17%
Physics and Astronomy 5 10%
Engineering 5 10%
Other 10 21%