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  • [\'Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA. jip13@pitt.edu.\', \'Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA. jip13@pitt.edu.\', \'Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.\', \'Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15213, USA.\', \'Department of Radiology, Xi\'an Jiaotong University The First Affiliated Hospital, Xi\'an, Shaanxi, China.\', \'Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA.\', \'Department of Radiology, Xi\'an Jiaotong University The First Affiliated Hospital, Xi\'an, Shaanxi, China. jin1115@mail.xjtu.edu.cn.\']
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  • -1
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?:doi
?:doi
  • 10.1007/s00330-020-07156-2
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  • European radiology
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  • 32789756
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?:rankingScore_hIndex
  • 131
?:title
  • Automated quantification of COVID-19 severity and progression using chest CT images.
?:type
?:year
  • 2021

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