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Application research of AI-assisted compressed sensing technology in MRI scanning of the knee joint: 3D-MRI perspective.
Ni, Ming; He, Miao; Yang, Yuxin; Wen, Xiaoyi; Zhao, Yuqing; Gao, Lixiang; Yan, Ruixin; Xu, Jiajia; Zhang, Yarui; Chen, Wen; Jiang, Chenyu; Li, Yali; Zhao, Qiang; Wu, Peng; Li, Chunlin; Qu, Junda; Yuan, Huishu.
Afiliación
  • Ni M; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • He M; School of Biomedical Engineering, Capital Medical University, Beijing, 100069, People's Republic of China.
  • Yang Y; Beijing Key Laboratory of Fundamental Research On Biomechanics in Clinical Application, Capital Medical University, Beijing, People's Republic of China.
  • Wen X; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, People's Republic of China.
  • Zhao Y; United Imaging Research Institute of Intelligent Imaging, Beijing, People's Republic of China.
  • Gao L; Institute of Statistics and Big Data, Renmin University of China, Beijing, People's Republic of China.
  • Yan R; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Xu J; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Zhang Y; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Chen W; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Jiang C; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Li Y; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Zhao Q; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Wu P; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Li C; Department of Radiology, Peking University Third Hospital, Beijing, People's Republic of China.
  • Qu J; United Imaging Healthcare Co, Shanghai, People's Republic of China.
  • Yuan H; School of Biomedical Engineering, Capital Medical University, Beijing, 100069, People's Republic of China.
Eur Radiol ; 2023 Nov 07.
Article en En | MEDLINE | ID: mdl-37932390
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article