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Visualization and Processing of Higher Order Descriptors for Multi-Valued Data

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Table of Contents

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    Book Overview
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    Chapter 1 Diffusion-Weighted Magnetic Resonance Signal for General Gradient Waveforms: Multiple Correlation Function Framework, Path Integrals, and Parallels Between Them
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    Chapter 2 Finslerian Diffusion and the Bloch–Torrey Equation
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    Chapter 3 Fiber Orientation Distribution Functions and Orientation Tensors for Different Material Symmetries
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    Chapter 4 Topology of 3D Linear Symmetric Tensor Fields
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    Chapter 5 Random Projections for Low Multilinear Rank Tensors
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    Chapter 6 Path-Based Mathematical Morphology on Tensor Fields
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    Chapter 7 Processing Multispectral Images via Mathematical Morphology
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    Chapter 8 Direction-Controlled DTI Interpolation
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    Chapter 9 Tensor Voting: Current State, Challenges and New Trends in the Context of Medical Image Analysis
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    Chapter 10 Visualization of Diffusion Propagator and Multiple Parameter Diffusion Signal
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    Chapter 11 Visual Knowledge Discovery for Diffusion Kurtosis Datasets of the Human Brain
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    Chapter 12 A Survey of Illustrative Visualization Techniques for Diffusion-Weighted MRI Tractography
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    Chapter 13 Visualizing Symmetric Indefinite 2D Tensor Fields Using the Heat Kernel Signature
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    Chapter 14 A Framework for the Analysis of Diffusion Compartment Imaging (DCI)
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    Chapter 15 Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data
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    Chapter 16 A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields
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    Chapter 17 Tensor Lines in Engineering: Success, Failure, and Open Questions
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    Chapter 18 Contextual Diffusion Image Post-processing Aids Clinical Applications
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Title
Visualization and Processing of Higher Order Descriptors for Multi-Valued Data
Published by
Springer International Publishing, July 2015
DOI 10.1007/978-3-319-15090-1
ISBNs
978-3-31-915089-5, 978-3-31-915090-1
Editors

Hotz, Ingrid, Schultz, Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Canada 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Master 6 9%
Student > Doctoral Student 5 7%
Researcher 5 7%
Lecturer 2 3%
Other 8 11%
Unknown 31 44%
Readers by discipline Count As %
Computer Science 12 17%
Engineering 10 14%
Neuroscience 3 4%
Agricultural and Biological Sciences 2 3%
Mathematics 2 3%
Other 9 13%
Unknown 32 46%