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Anisotropy across fields and scales
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Institute of Computer Science, University of Bonn, Germany.
Oregon State University, USA.
Eindhoven University of Technology, Netherlands.
2021 (English)Collection (editor) (Refereed)
Place, publisher, year, edition, pages
Cham: Springer, 2021. , p. 280
Series
Mathematics and Visualization, ISSN 1612-3786, E-ISSN 2197-666X
Keywords [en]
tensor; tensor fields; higher-order harmonics; spherical harmonics; visualization; image processing; medical imaging; diffusion-weighted imaging (DWI); structural mechanics; astrophysics; statistics; open access
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-173659DOI: 10.1007/978-3-030-56215-1Libris ID: cq3738mx9nx19p1gISBN: 9783030562144 (print)ISBN: 9783030562151 (electronic)OAI: oai:DiVA.org:liu-173659DiVA, id: diva2:1532380
Available from: 2021-03-01 Created: 2021-03-01 Last updated: 2021-09-16Bibliographically approved

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fulltext(10986 kB)1142 downloads
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File name FULLTEXT01.pdfFile size 10986 kBChecksum SHA-512
78a0cce11bb1c4770e8a3e8562c9ddd507dec7755c7d451aa93ccf254558a587a6a899697c33548e1ac9f2f7ed745f9f6ffbea30159910136358771cded4b91a
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Özarslan, Evren

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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