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  • [\'School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.\', \'Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom.\', \'Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.\', \'Department of Radiology, Wuhan Pulmonary Hospital, Wuhan 430030, China.\', \'HUST-HW Joint Innovation Lab, Wuhan 430074, China.\', \'Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: chenweiwei_tjh@163.com.\', \'School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address: xbai@hust.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • S1361-8415(21)00142-010.1016/j.media.2021.102096
?:doi
?:hasPublicationType
?:journal
  • Medical image analysis
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  • 34051438
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?:rankingScore_SJR
  • 1.928
?:rankingScore_hIndex
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is ?:relation_isRelatedTo_publication of
?:title
  • Deep learning for predicting COVID-19 malignant progression.
?:type
?:year
  • 2021

Metadata

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Anon_1   (more)
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