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dc.contributor.author
Davoudi, Neda
dc.contributor.author
Deán-Ben, Xosé-Luís
dc.contributor.author
Razansky, Daniel
dc.date.accessioned
2020-01-31T09:11:33Z
dc.date.available
2020-01-30T22:12:20Z
dc.date.available
2020-01-31T09:11:33Z
dc.date.issued
2019-10
dc.identifier.issn
2522-5839
dc.identifier.other
10.1038/s42256-019-0095-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/395989
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.title
Deep learning optoacoustic tomography with sparse data
en_US
dc.type
Journal Article
dc.date.published
2019-09-16
ethz.journal.title
Nature Machine Intelligence
ethz.journal.volume
1
en_US
ethz.journal.issue
10
en_US
ethz.journal.abbreviated
Nat Mach Intell
ethz.pages.start
453
en_US
ethz.pages.end
460
en_US
ethz.identifier.scopus
ethz.publication.place
London
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.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::09648 - Razansky, Daniel / Razansky, Daniel
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.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::09648 - Razansky, Daniel / Razansky, Daniel
ethz.date.deposited
2020-01-30T22:12:27Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-01-31T09:11:42Z
ethz.rosetta.lastUpdated
2022-03-29T00:53:40Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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