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Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.
Nowak, Sebastian; Mesropyan, Narine; Faron, Anton; Block, Wolfgang; Reuter, Martin; Attenberger, Ulrike I; Luetkens, Julian A; Sprinkart, Alois M.
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  • Nowak S; Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
  • Mesropyan N; Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
  • Faron A; Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
  • Block W; Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
  • Reuter M; Image Analysis, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Attenberger UI; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
  • Luetkens JA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
  • Sprinkart AM; Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
Eur Radiol ; 31(11): 8807-8815, 2021 Nov.
Article en En | MEDLINE | ID: mdl-33974149
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Alemania