000801301 000__ 03324cam\a2200517M\\4500
000801301 001__ 801301
000801301 005__ 20230306143626.0
000801301 006__ m\\\\\o\\d\\\\\\\\
000801301 007__ cr\un\nnnunnun
000801301 008__ 171023s2017\\\\sz\\\\\\o\\\\\001\0\eng\d
000801301 019__ $$a1006502727$$a1007307234
000801301 020__ $$a9783319613581$$q(electronic book)
000801301 020__ $$a3319613588$$q(electronic book)
000801301 020__ $$z9783319613574
000801301 020__ $$z331961357X
000801301 0247_ $$a10.1007/978-3-319-61358-1$$2doi
000801301 035__ $$aSP(OCoLC)on1007035513
000801301 035__ $$aSP(OCoLC)1007035513$$z(OCoLC)1006502727$$z(OCoLC)1007307234
000801301 040__ $$aYDX$$beng$$cYDX$$dN$T$$dGW5XE$$dN$T$$dOCLCF$$dFIE$$dUAB
000801301 049__ $$aISEA
000801301 050_4 $$aQD941
000801301 08204 $$a548/.8$$223
000801301 24500 $$aModeling, analysis, and visualization of anisotropy /$$cThomas Schultz, Evren Özarslan, Ingrid Hotz, editors.
000801301 260__ $$aCham :$$bSpringer,$$c2017.
000801301 300__ $$a1 online resource.
000801301 336__ $$atext$$btxt$$2rdacontent
000801301 337__ $$acomputer$$bc$$2rdamedia
000801301 338__ $$aonline resource$$bcr$$2rdacarrier
000801301 347__ $$atext file$$bPDF$$2rda
000801301 4901_ $$aMathematics and visualization
000801301 500__ $$aIncludes index.
000801301 5050_ $$aPart I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches.
000801301 506__ $$aAccess limited to authorized users.
000801301 520__ $$aThis book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.--$$cProvided by publisher.
000801301 588__ $$aDescription based on print version record.
000801301 650_0 $$aAnisotropy.
000801301 650_0 $$aAnisotropy$$xMathematical models.
000801301 7001_ $$aSchultz, Thomas.
000801301 7001_ $$aÖzarslan, Evren.
000801301 7001_ $$aHotz, Ingrid.
000801301 77608 $$iPrint version:$$z331961357X$$z9783319613574$$w(OCoLC)990004949
000801301 830_0 $$aMathematics and visualization.
000801301 852__ $$bebk
000801301 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-61358-1$$zOnline Access$$91397441.1
000801301 909CO $$ooai:library.usi.edu:801301$$pGLOBAL_SET
000801301 980__ $$aEBOOK
000801301 980__ $$aBIB
000801301 982__ $$aEbook
000801301 983__ $$aOnline
000801301 994__ $$a92$$bISE