Matches in Wikidata for { <http://www.wikidata.org/entity/Q63387102> ?p ?o ?g. }
Showing items 1 to 45 of
45
with 100 items per page.
- Q63387102 description "article scientifique publié en 2017" @default.
- Q63387102 description "scholarly article by Wenqi Li et al published 2017 in Lecture Notes in Computer Science" @default.
- Q63387102 description "wetenschappelijk artikel" @default.
- Q63387102 description "наукова стаття, опублікована у 2017" @default.
- Q63387102 name "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 name "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 type Item @default.
- Q63387102 label "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 label "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 prefLabel "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 prefLabel "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 P1433 Q63387102-4B348E19-9432-41BA-BF87-6D0C98BE462B @default.
- Q63387102 P1476 Q63387102-9D10570C-8779-437F-88D4-C5F086C8C385 @default.
- Q63387102 P2093 Q63387102-F2FB7B19-68F0-46B5-9EBA-196440BA0EDA @default.
- Q63387102 P304 Q63387102-1E6A5FE0-1FBE-4949-BEF7-E002C38F6693 @default.
- Q63387102 P31 Q63387102-5E586593-6C37-4ABA-B666-95AA2FCCBA8F @default.
- Q63387102 P356 Q63387102-8B3BB0EB-E165-48F2-B8CB-1BBF9A85AB44 @default.
- Q63387102 P407 Q63387102-9A3DEA59-69C7-41C0-A98B-25CA445C6EE3 @default.
- Q63387102 P50 Q63387102-1749701E-1B87-4A17-BAF0-B5D423A6A52E @default.
- Q63387102 P50 Q63387102-73503848-C8B8-402B-BDD2-6DB164AC7F1B @default.
- Q63387102 P50 Q63387102-74F2C2F0-FCD5-4D15-BB9F-C02A72D319E8 @default.
- Q63387102 P50 Q63387102-8310D0E0-84F8-4124-ACBB-199A4E11216E @default.
- Q63387102 P50 Q63387102-E0739DC5-DDAC-45BB-B1A4-843058672798 @default.
- Q63387102 P577 Q63387102-7738BA02-74DF-4431-A9A3-C1D5F4D5C6F7 @default.
- Q63387102 P818 Q63387102-8A9F9589-546D-4C63-9A61-34E84DD68A71 @default.
- Q63387102 P8978 Q63387102-19CC7E38-1B9F-4F89-B499-3888B36286A6 @default.
- Q63387102 P921 Q63387102-72E4A335-4DD4-4B2B-9947-FFFDEFE7B783 @default.
- Q63387102 P356 978-3-319-59050-9_28 @default.
- Q63387102 P8978 LiWFOCV17 @default.
- Q63387102 P1433 Q924044 @default.
- Q63387102 P1476 "On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task" @default.
- Q63387102 P2093 "Lucas Fidon" @default.
- Q63387102 P304 "348-360" @default.
- Q63387102 P31 Q13442814 @default.
- Q63387102 P356 "10.1007/978-3-319-59050-9_28" @default.
- Q63387102 P407 Q1860 @default.
- Q63387102 P50 Q49333117 @default.
- Q63387102 P50 Q58208899 @default.
- Q63387102 P50 Q58216854 @default.
- Q63387102 P50 Q59663364 @default.
- Q63387102 P50 Q88381761 @default.
- Q63387102 P577 "2017-01-01T00:00:00Z" @default.
- Q63387102 P818 "1707.01992" @default.
- Q63387102 P8978 "conf/ipmi/LiWFOCV17" @default.
- Q63387102 P921 Q17084460 @default.