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Anisotropy Across Fields and Scales
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Catalogue Information
Field name
Details
Dewey Class
001.4226
Title
Anisotropy Across Fields and Scales ([EBook] /) / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster.
Added Personal Name
Özarslan, Evren
Schultz, Thomas
Zhang, Eugene
Fuster, Andrea
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2021.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details
X, 280 p. 109 illus., 91 illus. in color. : online resource.
Series
Mathematics and visualization
2197-666X
ISBN
9783030562151
Summary Note
This open access book focuses on processing, modeling, and visualization of anisotropy information...:
Contents note
Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.
Mode of acces to digital resource
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-030-56215-1
Links to Related Works
Subject References:
Algebras, Linear
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Computational Science and Engineering
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Computer Imaging, Vision, Pattern Recognition and Graphics
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Computer vision
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Data and Information Visualization
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Image processing—Digital techniques
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Information visualization
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Linear Algebra
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Mathematical Physics
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Mathematics—Data processing
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Theoretical, Mathematical and Computational Physics
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Authors:
editor
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Fuster, Andrea
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Özarslan, Evren
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Schultz, Thomas
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Zhang, Eugene
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Corporate Authors:
SpringerLink (Online service)
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Series:
Mathematics and visualization
.
Classification:
001.4226
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