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Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction.
Liao, Shu; Mo, Zhanhao; Zeng, Mengsu; Wu, Jiaojiao; Gu, Yuning; Li, Guobin; Quan, Guotao; Lv, Yang; Liu, Lin; Yang, Chun; Wang, Xinglie; Huang, Xiaoqian; Zhang, Yang; Cao, Wenjing; Dong, Yun; Wei, Ying; Zhou, Qing; Xiao, Yongqin; Zhan, Yiqiang; Zhou, Xiang Sean; Shi, Feng; Shen, Dinggang.
Afiliación
  • Liao S; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Mo Z; Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun 130033, China.
  • Zeng M; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
  • Wu J; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Gu Y; School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China.
  • Li G; Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201800, China.
  • Quan G; Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201800, China.
  • Lv Y; Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201800, China.
  • Liu L; Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun 130033, China.
  • Yang C; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
  • Wang X; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Huang X; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Zhang Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Cao W; Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201800, China.
  • Dong Y; Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201800, China.
  • Wei Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Zhou Q; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Xiao Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Zhan Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Zhou XS; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China.
  • Shi F; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China. Electronic address: feng.shi@uii-ai.com.
  • Shen D; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China; School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China; Shanghai Clinical Research and Trial Center, Shanghai 200122, China. Electronic address: dinggang.shen@gm
Cell Rep Med ; 4(7): 101119, 2023 07 18.
Article en En | MEDLINE | ID: mdl-37467726
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Observational_studies Idioma: En Revista: Cell Rep Med Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Observational_studies Idioma: En Revista: Cell Rep Med Año: 2023 Tipo del documento: Article