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dc.contributor.author
Probst, Thomas
dc.contributor.author
Maninis, Kevis-Kokitsi
dc.contributor.author
Chhatkuli, Ajad
dc.contributor.author
Ourak, Mouloud
dc.contributor.author
Vander Poorten, Emmanuel
dc.contributor.author
Van Gool, Luc
dc.date.accessioned
2018-04-05T15:31:18Z
dc.date.available
2018-01-22T12:58:39Z
dc.date.available
2018-04-05T15:31:18Z
dc.date.issued
2018-01
dc.identifier.issn
2377-3766
dc.identifier.other
10.1109/lra.2017.2778020
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/232324
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Tool landmark detection
en_US
dc.subject
3D reconstruction
en_US
dc.subject
robot-assisted surgery
en_US
dc.subject
deep learning
en_US
dc.title
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery
en_US
dc.type
Journal Article
dc.date.published
2017-11-27
ethz.journal.title
IEEE Robotics and Automation Letters
ethz.journal.volume
3
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
612
en_US
ethz.pages.end
619
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
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
en_US
ethz.date.deposited
2018-01-22T12:58:42Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-04-05T15:31:21Z
ethz.rosetta.lastUpdated
2021-02-14T23:10:03Z
ethz.rosetta.versionExported
true
ethz.COinS
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