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Investigating Simultaneity for Deep Learning-Enhanced Actual Ultra-Low-Dose Amyloid PET/MR Imaging.
Chen, K T; Adeyeri, O; Toueg, T N; Zeineh, M; Mormino, E; Khalighi, M; Zaharchuk, G.
Afiliação
  • Chen KT; From the Department of Radiology (K.T.C., M.Z., M.K., G.Z.), Stanford University, Stanford, California chenkt@ntu.edu.tw.
  • Adeyeri O; Department of Biomedical Engineering (K.T.C.), National Taiwan University, Taipei, Taiwan.
  • Toueg TN; Department of Computer Science (O.A.), Salem State University, Salem, Massachusetts.
  • Zeineh M; Department of Neurology and Neurological Sciences (T.N.T., E.M.), Stanford University, Stanford, California.
  • Mormino E; From the Department of Radiology (K.T.C., M.Z., M.K., G.Z.), Stanford University, Stanford, California.
  • Khalighi M; Department of Neurology and Neurological Sciences (T.N.T., E.M.), Stanford University, Stanford, California.
  • Zaharchuk G; From the Department of Radiology (K.T.C., M.Z., M.K., G.Z.), Stanford University, Stanford, California.
AJNR Am J Neuroradiol ; 43(3): 354-360, 2022 03.
Article em En | MEDLINE | ID: mdl-35086799
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Limite: Female / Humans / Male Idioma: En Revista: AJNR Am J Neuroradiol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Limite: Female / Humans / Male Idioma: En Revista: AJNR Am J Neuroradiol Ano de publicação: 2022 Tipo de documento: Article