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is ?:annotates of
?:authorAffiliation
  • [\'Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.\', \'Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, 200232, China.\', \'Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication & Information Engineering, Shanghai University, Shanghai, 200444, China.\', \'School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.\', \'Department of Artificial Intelligence, Korea University, Seoul, 02841, Republic of Korea.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1002/mp.14609
?:doi
?:hasPublicationType
?:journal
  • Medical physics
is ?:pmid of
?:pmid
?:pmid
  • 33225476
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.289
?:rankingScore_hIndex
  • 152
is ?:relation_isRelatedTo_publication of
?:title
  • Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction.
?:type
?:year
  • 2021

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