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  • [\'ETH Zürich, Department of Computer Science, Rämistrasse 101, 8092, Zürich, Switzerland.\', \'Department of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel.\', \'Bioinformatics Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel.\', \'Eyeway Vision Ltd., Yoni Netanyahu St 3, Or Yehuda, Israel.\', \'Department of Radiology, HaEmek Medical Center, Afula, Israel.\', \'Department of Otolaryngology, Head and Neck Surgery, Galilee Medical Center, Nahariya, Israel.\', \'The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.\', \'Cardiothoracic Imaging Unit, Shaare Zedek Medical Center, Jerusalem, Israel.\', \'Radiology Department, Rabin Medical Center, Jabotinsky Rd 39, Petah Tikva, Israel.\', \'Sakler School of Medicine, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel.\', \'Mobileye Vision Technologies, Ltd., Hartom 13, Jerusalem, Israel.\', \'Department of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel. yonina.eldar@weizmann.ac.il.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1007/s00330-021-08050-1
?:hasPublicationType
?:journal
  • European radiology
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?:pmid
  • 34052882
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  • 1.943
?:rankingScore_hIndex
  • 131
?:title
  • COVID-19 classification of X-ray images using deep neural networks.
?:type
?:year
  • 2021

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