TGIF: Topological gap in-fill for vascular networks: A generative physiological modeling approach
dc.contributor.author
Schneider, Matthias
dc.contributor.author
Hirsch, Sven
dc.contributor.author
Weber, Bruno
dc.contributor.author
Székely, Gábor
dc.contributor.author
Menze, Björn H.
dc.contributor.editor
Golland, Polina
dc.contributor.editor
Hata, Nobuhiko
dc.contributor.editor
Barillot, Christian
dc.contributor.editor
Hornegger, Joachim
dc.contributor.editor
Howe, Robert
dc.date.accessioned
2017-06-11T12:29:05Z
dc.date.available
2017-06-11T12:29:05Z
dc.date.issued
2014
dc.identifier.isbn
978-3-319-10469-0
dc.identifier.isbn
978-3-319-10470-6
dc.identifier.issn
0302-9743
dc.identifier.issn
1611-3349
dc.identifier.other
10.1007/978-3-319-10470-6_12
dc.identifier.uri
http://hdl.handle.net/20.500.11850/89392
dc.language.iso
en
dc.publisher
Springer
dc.subject
Vascular reconstruction
dc.subject
Vascular connectivity
dc.subject
Angiogenesis
dc.title
TGIF: Topological gap in-fill for vascular networks: A generative physiological modeling approach
dc.type
Conference Paper
ethz.book.title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 : 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
ethz.journal.title
Lecture Notes in Computer Science
ethz.journal.volume
8674
ethz.journal.abbreviated
LNCS
ethz.pages.start
89
ethz.pages.end
96
ethz.event
17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
ethz.event.location
Boston, MA, USA
ethz.event.date
September 14-18, 2014
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
010264066
ethz.publication.place
Cham
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03633 - Székely, Gábor (emeritus)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03633 - Székely, Gábor (emeritus)
ethz.date.deposited
2017-06-11T12:29:37Z
ethz.source
ECIT
ethz.identifier.importid
imp5936524ecc88182171
ethz.ecitpid
pub:140649
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-12T18:20:14Z
ethz.rosetta.lastUpdated
2021-02-14T12:06:13Z
ethz.rosetta.versionExported
true
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Publikationstyp
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Conference Paper [34973]