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Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Autore Özarslan Evren
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Mathematics
Visualization
Matrix theory
Algebra
Computer mathematics
Optical data processing
Mathematical physics
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Soggetto non controllato Visualization
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Data and Information Visualization
Linear Algebra
tensor
tensor fields
higher-order harmonics
spherical harmonics
image processing
medical imaging
diffusion-weighted imaging (DWI)
structural mechanics
astrophysics
statistics
open access
Combinatorics & graph theory
Algebra
Maths for scientists
Computer vision
Mathematical physics
ISBN 3-030-56215-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996466563203316
Özarslan Evren  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Autore Özarslan Evren
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Information visualization
Algebras, Linear
Mathematics - Data processing
Image processing - Digital techniques
Computer vision
Mathematical physics
Data and Information Visualization
Linear Algebra
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
ISBN 3-030-56215-8
Classificazione COM014000COM016000MAT002050MAT013000SCI040000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910473459203321
Özarslan Evren  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling, Analysis, and Visualization of Anisotropy / / edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz
Modeling, Analysis, and Visualization of Anisotropy / / edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (X, 407 p. 150 illus. in color.)
Disciplina 530
Collana Mathematics and Visualization
Soggetto topico Algebras, Linear
Mathematics - Data processing
Information visualization
Computer vision
Linear Algebra
Computational Science and Engineering
Data and Information Visualization
Computer Vision
ISBN 3-319-61358-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches.
Record Nr. UNINA-9910254286103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui