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  • [\'Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, United States of America.\', \'Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.\', \'Department of Computer Science, University of Southern California, Los Angeles, CA, United States of America.\', \'Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA, United States of America.\', \'Department of Physics & Astronomy, University of Southern California, Los Angeles, CA, United States of America.\', \'Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, United States of America.\']
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  • -1
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  • 10.1371/journal.pone.0263916
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  • PloS one
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  • 35286309
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  • 1.164
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  • 241
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  • AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging.
?:type
?:year
  • 2022

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