Matches in Wikidata for { <http://www.wikidata.org/entity/Q92513986> ?p ?o ?g. }
Showing items 1 to 46 of
46
with 100 items per page.
- Q92513986 description "article scientifique publié en 2019" @default.
- Q92513986 description "artículu científicu espublizáu n'agostu de 2019" @default.
- Q92513986 description "scientific article published on 08 August 2019" @default.
- Q92513986 description "wetenschappelijk artikel" @default.
- Q92513986 description "наукова стаття, опублікована 8 серпня 2019" @default.
- Q92513986 name "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 name "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 type Item @default.
- Q92513986 label "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 label "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 prefLabel "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 prefLabel "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 P1433 Q92513986-671FC9D5-429F-4255-A7C9-69F2AA14B6C2 @default.
- Q92513986 P1476 Q92513986-2B8A547B-54DB-444D-818E-8DBF1F12CF93 @default.
- Q92513986 P2093 Q92513986-0FC9E402-42CB-42F2-8605-2D7B45D8621E @default.
- Q92513986 P2093 Q92513986-2003DF30-D1CB-4320-8E6D-C0A7A4F5D1A8 @default.
- Q92513986 P2093 Q92513986-2AD60A8F-C208-4378-8074-5C1EC2FB8683 @default.
- Q92513986 P2093 Q92513986-41F70EAB-D66A-4FB9-9D9C-9B2CDE680AA9 @default.
- Q92513986 P2093 Q92513986-C8C523DA-5463-4949-9477-B30DC5F25A49 @default.
- Q92513986 P304 Q92513986-A9917B08-B96E-41F5-9C3D-58FA4CCA9EEE @default.
- Q92513986 P31 Q92513986-393D15D5-51FC-4D0A-AF7D-5BFCA5C603E2 @default.
- Q92513986 P356 Q92513986-63126B4C-BC20-4A05-9760-A94D577E97F3 @default.
- Q92513986 P433 Q92513986-A7F526E4-15B0-4C41-8D43-A74E2D9D1735 @default.
- Q92513986 P478 Q92513986-2FDDE808-C707-45BD-9069-898F406262AE @default.
- Q92513986 P577 Q92513986-730D0949-1381-4BCC-8D61-3548C59A2F82 @default.
- Q92513986 P698 Q92513986-398989CB-19B3-495E-8476-DAC023EDF69D @default.
- Q92513986 P921 Q92513986-9C43417F-3D15-4F0B-BFF1-2B9FECC3CB94 @default.
- Q92513986 P932 Q92513986-A8DE538E-3A77-4B22-BF65-DDDEBDC4BAFB @default.
- Q92513986 P356 S00256-019-03289-8 @default.
- Q92513986 P698 31396667 @default.
- Q92513986 P1433 Q7534365 @default.
- Q92513986 P1476 "Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment" @default.
- Q92513986 P2093 "Andrew Tsao" @default.
- Q92513986 P2093 "Benjamin Wang" @default.
- Q92513986 P2093 "Colleen G Buckless" @default.
- Q92513986 P2093 "Martin Torriani" @default.
- Q92513986 P2093 "Robert Hemke" @default.
- Q92513986 P304 "387-395" @default.
- Q92513986 P31 Q13442814 @default.
- Q92513986 P356 "10.1007/S00256-019-03289-8" @default.
- Q92513986 P433 "3" @default.
- Q92513986 P478 "49" @default.
- Q92513986 P577 "2019-08-08T00:00:00Z" @default.
- Q92513986 P698 "31396667" @default.
- Q92513986 P921 Q197536 @default.
- Q92513986 P932 "6980503" @default.