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is ?:annotates of
?:authorAffiliation
  • [\'College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China.\', \'Hunan Key Laboratory for Image Measurement and Vision Navigation, Changsha, Hunan, China.\', \'Department of Radiology, The First Hospital of Changsha City, Changsha, China.\', \'GROW School for Oncology and Development Biology, Maastricht University, P. O. Box 616, 6200, MD, Maastricht, The Netherlands.\', \'Department of Radiology, Netherlands Cancer Institute (NKI), Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.\', \'PingAn Technology, Shenzhen, China.\', \'PAII Inc., Bethesda, MD, USA.\', \'Department of Electrical Engineering, Eindhoven University of Technology, 5600, MB, Eindhoven, The Netherlands.\', \'Department of Radiotherapy, The First Affiliated Hospital, Zhejiang University, Zhejiang, Hangzhou, China.\', \'Hunan LanXi Biotechnology Ltd., Changsha, China.\', \'Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya Medical School, Central South University, Changsha, China.\', \'PingAn Technology, Shenzhen, China. huanglingyun691@pingan.com.cn.\', \'Department of Respiratory Medicine, The First Hospital of Changsha City, Changsha, China. tyl71523@qq.com.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1007/s00330-020-07042-x
?:doi
?:hasPublicationType
?:journal
  • European radiology
is ?:pmid of
?:pmid
?:pmid
  • 32683550
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  • 1.943
?:rankingScore_hIndex
  • 131
?:title
  • From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.
?:type
?:year
  • 2020

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