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PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging.
Wu, Xiangjun; He, Bingxi; Gao, Pengli; Zhang, Peng; Shang, Yaxin; Zhang, Liwen; Zhong, Jing; Jiang, Jingying; Hui, Hui; Tian, Jie.
Afiliação
  • Wu X; School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • He B; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.
  • Gao P; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Zhang P; School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Shang Y; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.
  • Zhang L; School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Zhong J; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.
  • Jiang J; Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
  • Hui H; Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
  • Tian J; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Med Phys ; 50(4): 2354-2371, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36239207
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia / Tomografia Computadorizada por Raios X Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia / Tomografia Computadorizada por Raios X Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article