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Motion artifact removal in coronary CT angiography based on generative adversarial networks.
Zhang, Lu; Jiang, Beibei; Chen, Qiang; Wang, Lingyun; Zhao, Keke; Zhang, Yaping; Vliegenthart, Rozemarijn; Xie, Xueqian.
Afiliación
  • Zhang L; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China.
  • Jiang B; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China.
  • Chen Q; Shukun (Beijing) Technology Co, Ltd., Jinhui Bd, Qiyang Rd, Beijing, 100102, China.
  • Wang L; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China.
  • Zhao K; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China.
  • Zhang Y; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China.
  • Vliegenthart R; Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands.
  • Xie X; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080, China. xiexueqian@hotmail.com.
Eur Radiol ; 33(1): 43-53, 2023 Jan.
Article en En | MEDLINE | ID: mdl-35829786

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artefactos / Angiografía por Tomografía Computarizada Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artefactos / Angiografía por Tomografía Computarizada Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China