Matches in Wikidata for { <http://www.wikidata.org/entity/Q93060690> ?p ?o ?g. }
Showing items 1 to 48 of
48
with 100 items per page.
- Q93060690 description "article scientifique publié en 2019" @default.
- Q93060690 description "artículu científicu espublizáu n'avientu de 2019" @default.
- Q93060690 description "im Dezember 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q93060690 description "scientific article published on 18 December 2019" @default.
- Q93060690 description "wetenschappelijk artikel" @default.
- Q93060690 description "наукова стаття, опублікована 18 грудня 2019" @default.
- Q93060690 name "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 name "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 type Item @default.
- Q93060690 label "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 label "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 prefLabel "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 prefLabel "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 P1433 Q93060690-BA31AF88-AB70-4C44-9D47-7BA0CC7E5CFF @default.
- Q93060690 P1476 Q93060690-BFB6493C-6538-49E1-9527-FB6219A99928 @default.
- Q93060690 P2093 Q93060690-0B14CAE0-063A-487D-A18F-BFD9AD45C49A @default.
- Q93060690 P2093 Q93060690-2C5C29F0-AFB4-4F77-A0B1-4B74360A25C8 @default.
- Q93060690 P2093 Q93060690-4FE4A677-2249-4068-89D7-ACDBC8CE5434 @default.
- Q93060690 P2093 Q93060690-69ED04EE-275F-48EC-B837-D17488CE368D @default.
- Q93060690 P2093 Q93060690-ACA2283B-52B4-458B-BD5E-7FBA0ACA15C8 @default.
- Q93060690 P2093 Q93060690-FC0DFA18-9F91-465D-87EA-CCBD439A540C @default.
- Q93060690 P304 Q93060690-B813708D-4376-4CED-8661-A218861BC7C6 @default.
- Q93060690 P31 Q93060690-2CE00DBE-7EC9-4354-8AC3-3F7E34AC350C @default.
- Q93060690 P356 Q93060690-D0850FD9-EABD-43A5-BA68-4B210C0D1641 @default.
- Q93060690 P478 Q93060690-628031C8-E18F-45F2-8C46-18E3059E67F0 @default.
- Q93060690 P577 Q93060690-AF0B9C37-B6DB-4E06-90CA-C248FA76C506 @default.
- Q93060690 P698 Q93060690-63F27FF8-1685-44FE-AB9A-AA7F5D793C38 @default.
- Q93060690 P8978 Q93060690-82A07309-70A0-4875-8062-169CFF14462B @default.
- Q93060690 P921 Q93060690-FD03CF48-BD64-4E0E-9E83-AE07E5D087A1 @default.
- Q93060690 P356 J.COMPBIOMED.2019.103579 @default.
- Q93060690 P698 31999557 @default.
- Q93060690 P8978 DebsRVCFR20 @default.
- Q93060690 P1433 Q2025825 @default.
- Q93060690 P1476 "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke" @default.
- Q93060690 P2093 "Carole Frindel" @default.
- Q93060690 P2093 "David Rousseau" @default.
- Q93060690 P2093 "Léon Victor" @default.
- Q93060690 P2093 "Noëlie Debs" @default.
- Q93060690 P2093 "Pejman Rasti" @default.
- Q93060690 P2093 "Tae-Hee Cho" @default.
- Q93060690 P304 "103579" @default.
- Q93060690 P31 Q13442814 @default.
- Q93060690 P356 "10.1016/J.COMPBIOMED.2019.103579" @default.
- Q93060690 P478 "116" @default.
- Q93060690 P577 "2019-12-18T00:00:00Z" @default.
- Q93060690 P698 "31999557" @default.
- Q93060690 P8978 "journals/cbm/DebsRVCFR20" @default.
- Q93060690 P921 Q17084460 @default.