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- Q104289491 description "2020 ވަނަ އަހަރުގެ ޑިސެމްބަރުމަހުގެ 9ވަނަ ދުވަހު ޝާއިރުކުރެވުނު ސައިންޓިފިކް ލިޔުމެއް" @default.
- Q104289491 description "artículu científicu espublizáu n'avientu de 2020" @default.
- Q104289491 description "scientific article published on 09 December 2020" @default.
- Q104289491 description "wetenschappelijk artikel" @default.
- Q104289491 description "наукова стаття, опублікована 9 грудня 2020" @default.
- Q104289491 name "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 name "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 name "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 type Item @default.
- Q104289491 label "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 label "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 label "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 prefLabel "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 prefLabel "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 prefLabel "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
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- Q104289491 P2093 Q104289491-D8DB86E6-AA0F-4BF3-9D0C-C2376B39854B @default.
- Q104289491 P31 Q104289491-A5733F1C-730B-4A3E-B5B9-8DD2561FCED1 @default.
- Q104289491 P356 Q104289491-914B2ADA-5CDC-4AC7-BA09-FA1DB328A14C @default.
- Q104289491 P4510 Q104289491-3038CC0B-AB25-4CE6-BDAA-7446EF1538D5 @default.
- Q104289491 P577 Q104289491-89C66178-9536-4B73-9A17-BEDE741E3EC6 @default.
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- Q104289491 P921 Q104289491-C8318373-1C7B-40FC-827B-4EFFA13A03D9 @default.
- Q104289491 P356 J.JVS.2020.11.036 @default.
- Q104289491 P698 33309556 @default.
- Q104289491 P1433 Q15755733 @default.
- Q104289491 P1476 "Fully automatic volume segmentation of infra-renal abdominal aortic aneurysm CT images with deep learning approaches versus physician controlled manual segmentation" @default.
- Q104289491 P2093 "Ana Maria Vrancianu" @default.
- Q104289491 P2093 "Benedetta Spampinato" @default.
- Q104289491 P2093 "Caroline Caradu" @default.
- Q104289491 P2093 "Eric Ducasse" @default.
- Q104289491 P2093 "Xavier Bérard" @default.
- Q104289491 P31 Q13442814 @default.
- Q104289491 P356 "10.1016/J.JVS.2020.11.036" @default.
- Q104289491 P4510 Q197536 @default.
- Q104289491 P577 "2020-12-09T00:00:00Z" @default.
- Q104289491 P698 "33309556" @default.
- Q104289491 P921 Q197536 @default.
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