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Trustworthy Artificial Intelligence in Medical Imaging.
Hasani, Navid; Morris, Michael A; Rhamim, Arman; Summers, Ronald M; Jones, Elizabeth; Siegel, Eliot; Saboury, Babak.
Afiliação
  • Hasani N; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA 70121, USA.
  • Morris MA; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore Country, Baltimore, MD, USA.
  • Rhamim A; Department of Radiology, BC Cancer Research Institute, University of British Columbia, 675 West 10th Avenue, Vancouver, British Columbia, V5Z 1L3, Canada; Department of Physics, BC cancer Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
  • Summers RM; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA.
  • Jones E; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA.
  • Siegel E; Department of Radiology, BC Cancer Research Institute, University of British Columbia, 675 West 10th Avenue, Vancouver, British Columbia, V5Z 1L3, Canada.
  • Saboury B; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore Country, Baltimore, MD, USA; Departm
PET Clin ; 17(1): 1-12, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34809860
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Ecossistema Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PET Clin Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Ecossistema Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PET Clin Ano de publicação: 2022 Tipo de documento: Article