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Computational Diffusion MRI

Overview of attention for book
Cover of 'Computational Diffusion MRI'

Table of Contents

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    Book Overview
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    Chapter 1 Vector Weights and Dual Graphs: An Emphasis on Connections in Brain Network Analysis
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    Chapter 2 Rich Club Network Analysis Shows Distinct Patterns of Disruption in Frontotemporal Dementia and Alzheimer’s Disease
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    Chapter 3 Parcellation-Independent Multi-Scale Framework for Brain Network Analysis
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    Chapter 4 Computational Diffusion MRI
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    Chapter 5 The Added Value of Diffusion Tensor Imaging for Automated White Matter Hyperintensity Segmentation
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    Chapter 6 Algebraic Connectivity of Brain Networks Shows Patterns of Segregation Leading to Reduced Network Robustness in Alzheimer’s Disease
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    Chapter 7 Diffusion-Map: A Novel Visualizing Biomarker for Diffusion Tensor Imaging of Human Brain White Matter
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    Chapter 8 A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis
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    Chapter 9 Computational Diffusion MRI
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    Chapter 10 Fiber Bundle Segmentation Using Spectral Embedding and Supervised Learning
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    Chapter 11 Atlas-Guided Global Tractography: Imposing a Prior on the Local Track Orientation
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    Chapter 12 Magnitude and Complex Based Diffusion Signal Reconstruction
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    Chapter 13 Diffusion Propagator Estimation Using Gaussians Scattered in q-Space
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    Chapter 14 An Analytical 3D Laplacian Regularized SHORE Basis and Its Impact on EAP Reconstruction and Microstructure Recovery
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    Chapter 15 Motion Is Inevitable: The Impact of Motion Correction Schemes on HARDI Reconstructions
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    Chapter 16 Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate
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    Chapter 17 Bilateral Filtering of Multiple Fiber Orientations in Diffusion MRI
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    Chapter 18 Dictionary Based Super-Resolution for Diffusion MRI
Attention for Chapter 9: Computational Diffusion MRI
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Chapter title
Computational Diffusion MRI
Chapter number 9
Book title
Computational Diffusion MRI
Published by
Springer Nature, December 2014
DOI 10.1007/978-3-319-11182-7_9
Book ISBNs
978-3-31-911181-0, 978-3-31-911182-7
Authors

Lauren O'Donnell, Gemma Nedjati-Gilani, Yogesh Rathi, Marco Reisert, Torben Schneider, J. Mitra, K.-K. Shen, S. Ghose, P. Bourgeat, J. Fripp, O. Salvado, B. Campbell, S. Palmer, L. Carey, S. Rose, Mitra, J., Shen, K.-K., Ghose, S., Bourgeat, P., Fripp, J., Salvado, O., Campbell, B., Palmer, S., Carey, L., Rose, S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Medicine and Dentistry 1 25%
Engineering 1 25%
Unknown 2 50%

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