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Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes.
Aquino, Gilberto J; Chamberlin, Jordan; Mercer, Megan; Kocher, Madison; Kabakus, Ismail; Akkaya, Selcuk; Fiegel, Matthew; Brady, Sean; Leaphart, Nathan; Dippre, Andrew; Giovagnoli, Vincent; Yacoub, Basel; Jacob, Athira; Gulsun, Mehmet Akif; Sahbaee, Pooyan; Sharma, Puneet; Waltz, Jeffrey; Schoepf, U Joseph; Baruah, Dhiraj; Emrich, Tilman; Zimmerman, Stefan; Field, Michael E; Agha, Ali M; Burt, Jeremy R.
Afiliação
  • Aquino GJ; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Chamberlin J; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Mercer M; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Kocher M; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Kabakus I; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Akkaya S; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Fiegel M; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Brady S; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Leaphart N; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Dippre A; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Giovagnoli V; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Yacoub B; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Jacob A; Siemens Healthineers, Princeton, NJ, USA.
  • Gulsun MA; Siemens Healthineers, Princeton, NJ, USA.
  • Sahbaee P; Siemens Healthineers, Malver, PA, USA.
  • Sharma P; Siemens Healthineers, Princeton, NJ, USA.
  • Waltz J; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Schoepf UJ; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Baruah D; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Emrich T; Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Zimmerman S; Johns Hopkins Hospital, Department of Radiology and Radiological Science, USA.
  • Field ME; Medical University of South Carolina, Department of Medicine, USA.
  • Agha AM; Baylor College of Medicine, Department of Medicine, USA.
  • Burt JR; Medical University of South Carolina, Department of Radiology and Radiological Science, USA. Electronic address: burtje@musc.edu.
J Cardiovasc Comput Tomogr ; 16(3): 245-253, 2022.
Article em En | MEDLINE | ID: mdl-34969636
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article