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High-Resolution Breast MRI Reconstruction Using a Deep Convolutional Generative Adversarial Network.
Sun, Kun; Qu, Liangqiong; Lian, Chunfeng; Pan, Yongsheng; Hu, Dan; Xia, Bingqing; Li, Xinyue; Chai, Weimin; Yan, Fuhua; Shen, Dinggang.
Afiliação
  • Sun K; Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Qu L; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Lian C; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Pan Y; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Hu D; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Xia B; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Li X; Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Chai W; Department of Radiology, Ruijin Hospital Luwan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Yan F; Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Shen D; Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
J Magn Reson Imaging ; 52(6): 1852-1858, 2020 12.
Article em En | MEDLINE | ID: mdl-32656955

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Imageamento por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Imageamento por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2020 Tipo de documento: Article