FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019060944> ?p ?o ?g. }

• W2019060944 endingPage "592" @default.
• W2019060944 startingPage "582" @default.
• W2019060944 abstract "Diffusion-tensor imaging allows noninvasive assessment of the myocardial fiber architecture, which is fundamental in understanding the mechanics of the heart. In this context, tractography techniques are often used for representing and visualizing cardiac fibers, but their output is only qualitative. We introduce here a new framework toward a more quantitative description of the cardiac fiber architecture from tractography results. The proposed approach consists in taking three-dimensional (3-D) fiber tracts as inputs, and then unfolding these fibers in the Euclidean plane under local isometry constraints using semidefinite programming. The solution of the unfolding problem takes the form of a Gram matrix which defines the two-dimensional (2-D) embedding of the fibers and whose spectrum provides quantitative information on their organization. Experiments on synthetic and real data show that unfolding makes it easier to observe and to study the cardiac fiber architecture. Our conclusion is that 2-D embedding of cardiac fibers is a promising approach to supplement 3-D rendering for understanding the functioning of the heart." @default.
• W2019060944 created "2016-06-24" @default.
• W2019060944 creator A5002863452 @default.
• W2019060944 creator A5039231205 @default.
• W2019060944 creator A5058637559 @default.
• W2019060944 creator A5063417182 @default.
• W2019060944 creator A5073397412 @default.
• W2019060944 date "2015-02-01" @default.
• W2019060944 modified "2023-09-28" @default.
• W2019060944 title "Cardiac Fiber Unfolding by Semidefinite Programming" @default.
• W2019060944 cites W1550726172 @default.
• W2019060944 cites W1608100607 @default.
• W2019060944 cites W1967149963 @default.
• W2019060944 cites W1969904397 @default.
• W2019060944 cites W1983075753 @default.
• W2019060944 cites W1983856662 @default.
• W2019060944 cites W1999145005 @default.
• W2019060944 cites W1999613943 @default.
• W2019060944 cites W2006234986 @default.
• W2019060944 cites W2010365263 @default.
• W2019060944 cites W2021860244 @default.
• W2019060944 cites W2022530159 @default.
• W2019060944 cites W2030030528 @default.
• W2019060944 cites W2030178057 @default.
• W2019060944 cites W2042164655 @default.
• W2019060944 cites W2051460802 @default.
• W2019060944 cites W2077767051 @default.
• W2019060944 cites W2090718766 @default.
• W2019060944 cites W2109488825 @default.
• W2019060944 cites W2112478953 @default.
• W2019060944 cites W2114316992 @default.
• W2019060944 cites W2129390822 @default.
• W2019060944 cites W2130460979 @default.
• W2019060944 cites W2134265534 @default.
• W2019060944 cites W2137570937 @default.
• W2019060944 cites W2139190766 @default.
• W2019060944 cites W2140699122 @default.
• W2019060944 cites W2150808421 @default.
• W2019060944 cites W2153231979 @default.
• W2019060944 cites W2156310318 @default.
• W2019060944 cites W2161777515 @default.
• W2019060944 cites W2162098060 @default.
• W2019060944 cites W2169776346 @default.
• W2019060944 cites W2734600884 @default.
• W2019060944 cites W28615604 @default.
• W2019060944 cites W2912522929 @default.
• W2019060944 cites W3013880646 @default.
• W2019060944 doi "https://doi.org/10.1109/tbme.2014.2360797" @default.
• W2019060944 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25291787" @default.
• W2019060944 hasPublicationYear "2015" @default.
• W2019060944 type Work @default.
• W2019060944 sameAs 2019060944 @default.
• W2019060944 citedByCount "2" @default.
• W2019060944 countsByYear W20190609442016 @default.
• W2019060944 countsByYear W20190609442020 @default.
• W2019060944 crossrefType "journal-article" @default.
• W2019060944 hasAuthorship W2019060944A5002863452 @default.
• W2019060944 hasAuthorship W2019060944A5039231205 @default.
• W2019060944 hasAuthorship W2019060944A5058637559 @default.
• W2019060944 hasAuthorship W2019060944A5063417182 @default.
• W2019060944 hasAuthorship W2019060944A5073397412 @default.
• W2019060944 hasConcept C126838900 @default.
• W2019060944 hasConcept C129782007 @default.
• W2019060944 hasConcept C143409427 @default.
• W2019060944 hasConcept C149550507 @default.
• W2019060944 hasConcept C151730666 @default.
• W2019060944 hasConcept C154945302 @default.
• W2019060944 hasConcept C159985019 @default.
• W2019060944 hasConcept C192562407 @default.
• W2019060944 hasConcept C205711294 @default.
• W2019060944 hasConcept C2524010 @default.
• W2019060944 hasConcept C2779343474 @default.
• W2019060944 hasConcept C33923547 @default.
• W2019060944 hasConcept C41008148 @default.
• W2019060944 hasConcept C41608201 @default.
• W2019060944 hasConcept C519885992 @default.
• W2019060944 hasConcept C71924100 @default.
• W2019060944 hasConcept C80444323 @default.
• W2019060944 hasConcept C84787856 @default.
• W2019060944 hasConcept C86803240 @default.
• W2019060944 hasConcept C89600930 @default.
• W2019060944 hasConceptScore W2019060944C126838900 @default.
• W2019060944 hasConceptScore W2019060944C129782007 @default.
• W2019060944 hasConceptScore W2019060944C143409427 @default.
• W2019060944 hasConceptScore W2019060944C149550507 @default.
• W2019060944 hasConceptScore W2019060944C151730666 @default.
• W2019060944 hasConceptScore W2019060944C154945302 @default.
• W2019060944 hasConceptScore W2019060944C159985019 @default.
• W2019060944 hasConceptScore W2019060944C192562407 @default.
• W2019060944 hasConceptScore W2019060944C205711294 @default.
• W2019060944 hasConceptScore W2019060944C2524010 @default.
• W2019060944 hasConceptScore W2019060944C2779343474 @default.
• W2019060944 hasConceptScore W2019060944C33923547 @default.
• W2019060944 hasConceptScore W2019060944C41008148 @default.
• W2019060944 hasConceptScore W2019060944C41608201 @default.
• W2019060944 hasConceptScore W2019060944C519885992 @default.
• W2019060944 hasConceptScore W2019060944C71924100 @default.
• W2019060944 hasConceptScore W2019060944C80444323 @default.

• next