An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
dc.contributor.author
Baumgartner, Christian F.
dc.contributor.author
Koch, Lisa M.
dc.contributor.author
Pollefeys, Marc
dc.contributor.author
Konukoglu, Ender
dc.contributor.editor
Pop, Mihaela
dc.contributor.editor
Sermesant, Maxime
dc.contributor.editor
Jodoin, Pierre-Marc
dc.contributor.editor
Lalande, Alain
dc.contributor.editor
Zhuang, Xiahai
dc.contributor.editor
Yang, Guang
dc.contributor.editor
Young, Alistair
dc.contributor.editor
Bernard, Olivier
dc.date.accessioned
2018-05-08T12:28:32Z
dc.date.available
2018-01-26T09:39:46Z
dc.date.available
2018-05-08T12:28:32Z
dc.date.issued
2017
dc.identifier.isbn
978-3-319-75540-3
en_US
dc.identifier.isbn
978-3-319-75541-0
en_US
dc.identifier.issn
0302-9743
dc.identifier.issn
1611-3349
dc.identifier.other
10.1007/978-3-319-75541-0_12
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/235069
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.title
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
en_US
dc.type
Conference Paper
dc.date.published
2018-03-15
ethz.book.title
Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges: 8th International Workshop, STACOM 2017, held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers
en_US
ethz.journal.title
Lecture Notes in Computer Science
ethz.journal.volume
10663
en_US
ethz.journal.abbreviated
LNCS
ethz.pages.start
111
en_US
ethz.pages.end
119
en_US
ethz.event
8th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2017)
en_US
ethz.event.location
Quebec, Canada
en_US
ethz.event.date
September 10-14, 2017
en_US
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::09579 - Konukoglu, Ender / Konukoglu, Ender
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::09579 - Konukoglu, Ender / Konukoglu, Ender
ethz.date.deposited
2018-01-26T09:39:47Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-05-08T12:28:35Z
ethz.rosetta.lastUpdated
2021-02-14T23:47:45Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=An%20Exploration%20of%202D%20and%203D%20Deep%20Learning%20Techniques%20for%20Cardiac%20MR%20Image%20Segmentation&rft.jtitle=Lecture%20Notes%20in%20Computer%20Science&rft.date=2017&rft.volume=10663&rft.spage=111&rft.epage=119&rft.issn=0302-9743&1611-3349&rft.au=Baumgartner,%20Christian%20F.&Koch,%20Lisa%20M.&Pollefeys,%20Marc&Konukoglu,%20Ender&rft.isbn=978-3-319-75540-3&978-3-319-75541-0&rft.genre=proceeding&rft_id=info:doi/10.1007/978-3-319-75541-0_12&rft.btitle=Statistical%20Atlases%20and%20Computational%20Models%20of%20the%20Heart:%20ACDC%20and%20MMWHS%20Challenges:%208th%20International%20Workshop,%20STACOM%202017,%20held%20i
Dateien zu diesem Eintrag
Dateien | Größe | Format | Im Viewer öffnen |
---|---|---|---|
Zu diesem Eintrag gibt es keine Dateien. |
Publikationstyp
-
Conference Paper [35367]