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Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
Weikert, Thomas; Rapaka, Saikiran; Grbic, Sasa; Re, Thomas; Chaganti, Shikha; Winkel, David J; Anastasopoulos, Constantin; Niemann, Tilo; Wiggli, Benedikt J; Bremerich, Jens; Twerenbold, Raphael; Sommer, Gregor; Comaniciu, Dorin; Sauter, Alexander W.
Afiliação
  • Weikert T; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland. thomas.weikert@usb.ch.
  • Rapaka S; Siemens Healthineers, Princeton, NJ, USA.
  • Grbic S; Siemens Healthineers, Princeton, NJ, USA.
  • Re T; Siemens Healthineers, Princeton, NJ, USA.
  • Chaganti S; Siemens Healthineers, Princeton, NJ, USA.
  • Winkel DJ; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Anastasopoulos C; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Niemann T; Department of Radiology, Kantonsspital Baden, Baden, Switzerland.
  • Wiggli BJ; Department of Infectious Diseases & Infection Control, Kantonsspital Baden, Baden, Switzerland.
  • Bremerich J; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Twerenbold R; Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Sommer G; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Comaniciu D; Siemens Healthineers, Princeton, NJ, USA.
  • Sauter AW; Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Korean J Radiol ; 22(6): 994-1004, 2021 06.
Article em En | MEDLINE | ID: mdl-33686818
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tórax / Tomografia Computadorizada por Raios X / Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tórax / Tomografia Computadorizada por Raios X / Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça