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Anisotropy across fields and scales

Ozarslan, Evren.

Anisotropy across fields and scales

Record Type:	Electronic resources : Monograph/item
Title/Author:	Anisotropy across fields and scalesedited by Evren Ozarslan ... [et al.].
other author:	Ozarslan, Evren.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 280 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Tensor fields.
Online resource:	https://doi.org/10.1007/978-3-030-56215-1
ISBN:	9783030562151$q(electronic bk.)

Anisotropy across fields and scales
Anisotropy across fields and scales[electronic resource] /edited by Evren Ozarslan ... [et al.]. - Cham :Springer International Publishing :2021. - x, 280 p. :ill., digital ;24 cm. - Mathematics and visualization,1612-3786. - Mathematics and visualization..

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.

Open access.

This open access book focuses on processing, modeling, and visualization of anisotropy information.

ISBN: 9783030562151$q(electronic bk.)

Standard No.: 10.1007/978-3-030-56215-1doiSubjects--Topical Terms:

577110
Tensor fields.

LC Class. No.: QA321 / .A55 2021

Dewey Class. No.: 515.63

Anisotropy across fields and scales
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300 $a x, 280 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematics and visualization, $x 1612-3786
505 0 $a 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.
506 $a Open access.
520 $a This open access book focuses on processing, modeling, and visualization of anisotropy information.
650 0 $a Tensor fields. $3 577110
650 0 $a Anisotropy. $3 207917
650 1 4 $a Visualization. $3 182994
650 2 4 $a Linear and Multilinear Algebras, Matrix Theory. $3 274063
650 2 4 $a Computational Science and Engineering. $3 274685
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 376743
700 1 $a Ozarslan, Evren. $3 794970
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950 $a Mathematics and Statistics (SpringerNature-11649)