서지주요정보
Anisotropy Across Fields and Scales [electronic resource]
서명 / 저자 Anisotropy Across Fields and Scales [electronic resource] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster.
저자명 Özarslan, Evren. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Schultz, Thomas. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Zhang, Eugene. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Fuster, Andrea. editor. edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2021.
Online Access https://doi.org/10.1007/978-3-030-56215-1 URL

서지기타정보

서지기타정보
청구기호 QA76.9.I52
판사항 1st ed. 2021.
형태사항 X, 280 p. 109 illus., 91 illus. in color. online resource.
총서명 Mathematics and Visualization, 2197-666X
언어 English
내용 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.
주제 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.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783030562144 Printed edition: 9783030562168 Printed edition: 9783030562175
ISBN 9783030562151
기타 표준번호 10.1007/978-3-030-56215-1
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