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Dynamic evolution of brain structural patterns in liver transplantation recipients: a longitudinal study based on 3D convolutional neuronal network model.
Cheng, Yue; Zhang, Xiao-Dong; Chen, Cheng; He, Ling-Fei; Li, Fang-Fei; Lu, Zi-Ning; Man, Wei-Qi; Zhao, Yu-Jiao; Chang, Zhi-Xing; Wu, Ying; Shen, Wen; Fan, Ling-Zhong; Xu, Jun-Hai.
Afiliação
  • Cheng Y; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • Zhang XD; College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China.
  • Chen C; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • He LF; College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China.
  • Li FF; College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China.
  • Lu ZN; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Man WQ; College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China.
  • Zhao YJ; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Chang ZX; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • Wu Y; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • Shen W; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • Fan LZ; Department of Radiology, Tianjin First Central Hospital, Tianjin, China.
  • Xu JH; School of Medicine, Nankai University, Tianjin, China.
Eur Radiol ; 33(9): 6134-6144, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37014408
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans 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 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article