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  • [\'Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.\', \'Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.\', \'MGH & BWH Center for Clinical Data Science, Boston, MA, United States.\', \'Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.\', \'Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.\', \'Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, South Korea.\', \'Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea.\', \'School of Engineering and Applied Sciences, Harvard University, Boston, MA, United States.\', \'Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; MGH & BWH Center for Clinical Data Science, Boston, MA, United States. Electronic address: li.quanzheng@mgh.harvard.edu.\']
?:citedBy
  • -1
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?:doi
  • S1361-8415(21)00039-610.1016/j.media.2021.101993
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  • Medical image analysis
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?:pmid
  • 33711739
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  • 1.928
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  • 105
?:title
  • Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
?:type
?:year
  • 2021

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