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is ?:annotates of
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  • [\'Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.\', \'Department of Radiology Technology, Shahid Beheshti University of Medical, Tehran, Iran.\', \'Department of Biomedical Engineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.\', \'Department of Physiology, Pharmacology and Medical Physics, Alborz University of Medical Sciences, Karaj, Iran.\', \'Department of Radiology, Arak University of Medical Sciences, Arak, Iran.\', \'Rajaie Cardiovascular, Medical & Research Center, Iran University of Medical Science, Tehran, Iran.\', \'Department of Radiology, Alborz University of Medical Sciences, Karaj, Iran.\', \'Department of Radiation Oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.\', \'Department of Radiologic Sciences and Medical Physics, Faculty of Allied Medicine, Kerman University of Medical sciences, Kerman, Iran.\', \'Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.\', \'Geneva University Neurocenter, Geneva University, CH-1205, Geneva, Switzerland. habib.zaidi@hcuge.ch.\', \'Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. habib.zaidi@hcuge.ch.\', \'Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark. habib.zaidi@hcuge.ch.\']
?:citedBy
  • -1
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?:doi
  • 10.1007/s00330-020-07225-6
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?:journal
  • European radiology
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  • 32879987
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  • 1.943
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  • 131
?:title
  • Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network.
?:type
?:year
  • 2021

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