PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, 221116, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China. Electronic address: defu.qiu@cumt.edu.cn.\', \'Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, 221116, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.\', \'Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, 221116, China; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China. Electronic address: wangxuesongcumt@163.com.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0169-2607(21)00008-010.1016/j.cmpb.2021.105934
?:hasPublicationType
?:journal
  • Computer methods and programs in biomedicine
is ?:pmid of
?:pmid
?:pmid
  • 33454574
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.786
?:rankingScore_hIndex
  • 75
?:title
  • Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images.
?:type
?:year
  • 2021

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