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COVID-19 imaging, where do we go from here? Bibliometric analysis of medical imaging in COVID-19.
Wen, Ru; Zhang, Mudan; Xu, Rui; Gao, Yingming; Liu, Lin; Chen, Hui; Wang, Xingang; Zhu, Wenyan; Lin, Huafang; Liu, Chen; Zeng, Xianchun.
Afiliación
  • Wen R; Medical College, Guizhou University, Guizhou, 550000, People's Republic of China.
  • Zhang M; Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), 30 Gao Tan Yan St, 400038, Chongqing, People's Republic of China.
  • Xu R; Department of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, Guizhou Province, 550000, Guiyang City, People's Republic of China.
  • Gao Y; Guizhou Medical University, Guiyang, Guizhou Province, 550000, People's Republic of China.
  • Liu L; Department of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, Guizhou Province, 550000, Guiyang City, People's Republic of China.
  • Chen H; College of Life Science, Guizhou University, Guiyang, Guizhou Province, 550000, People's Republic of China.
  • Wang X; Department of Respiratory Medicine, Guizhou Provincial People Hospital, Guiyang City, Guizhou Province, 550000, People's Republic of China.
  • Zhu W; Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), 30 Gao Tan Yan St, 400038, Chongqing, People's Republic of China.
  • Lin H; Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), 30 Gao Tan Yan St, 400038, Chongqing, People's Republic of China.
  • Liu C; Medical Department, Yidu Cloud (Beijing) Technology Co., Ltd., Beijing, 100191, People's Republic of China.
  • Zeng X; Medical Department, Yidu Cloud (Beijing) Technology Co., Ltd., Beijing, 100191, People's Republic of China.
Eur Radiol ; 33(5): 3133-3143, 2023 May.
Article en En | MEDLINE | ID: mdl-36892649
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article