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Visualization and Processing of Tensor Fields

Overview of attention for book
Visualization and Processing of Tensor Fields
Springer-Verlag Berlin Heidelberg

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Modelling, Fitting and Sampling in Diffusion MRI
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    Chapter 2 Tensors, Polynomials and Models for Directional Data
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    Chapter 3 A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
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    Chapter 4 Visualization and Processing of Tensor Fields
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    Chapter 5 Structure-Specific Statistical Mapping of White Matter Tracts
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    Chapter 6 Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging
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    Chapter 7 Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps
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    Chapter 8 Interactive Volume Rendering of Diffusion Tensor Data
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    Chapter 9 Dense Glyph Sampling for Visualization
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    Chapter 10 The Role of Tensor Fields for Satellite Gravity Gradiometry
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    Chapter 11 Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics
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    Chapter 12 A Tensor Approach to Elastography Analysis and Visualization
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    Chapter 13 A Higher-Order Structure Tensor
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    Chapter 14 Monogenic Curvature Tensor as Image Model
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    Chapter 15 A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields
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    Chapter 16 Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices
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    Chapter 17 Variational Methods for Denoising Matrix Fields
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    Chapter 18 An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
Attention for Chapter 3: A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
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12 Mendeley
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Chapter title
A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
Chapter number 3
Book title
Visualization and Processing of Tensor Fields
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-540-88378-4_3
Book ISBNs
978-3-54-088377-7, 978-3-54-088378-4
Authors

Bing Jian, Baba C. Vemuri, Evren Özarslan, Jian, Bing, Vemuri, Baba C., Özarslan, Evren

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Denmark 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 58%
Researcher 2 17%
Student > Bachelor 1 8%
Unknown 2 17%
Readers by discipline Count As %
Engineering 3 25%
Medicine and Dentistry 2 17%
Computer Science 2 17%
Arts and Humanities 1 8%
Chemistry 1 8%
Other 1 8%
Unknown 2 17%

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