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  • [\'Department of Computer Science, IRIMAS, Université de Haute-Alsace, 68100, Mulhouse, France. karim.hammoudi@uha.fr.\', \'Université de Strasbourg, Strasbourg, France. karim.hammoudi@uha.fr.\', \'UMR 8520 - IEMN - Institut d\'Electronique de Microélectronique et de Nanotechnologie, Université Lille, CNRS, Centrale Lille, Université Polytechnique Hauts-de-France, Junia, F-59000, Lille, France.\', \'Department of Computer Science, IRIMAS, Université de Haute-Alsace, 68100, Mulhouse, France.\', \'Université de Strasbourg, Strasbourg, France.\', \'Department of Computer Science & Artificial Intelligence, University of the Basque Country, 20018, San Sebastián, Spain.\', \'IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Spain.\', \'Donostia International Physics Center (DIPC), 20018, San Sebastian, Spain.\', \'LIMMS/CNRS-IIS UMI 2820, Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba Meguro Ku, Tokyo, 153-8505, Japan.\', \'CNRS/IIS/COL/Lille 1 SMMiL-E Project, CNRS Délégation Nord-Pas-de-Calais et Picardie, 2 rue des Canonniers, Lille, Cedex 59046, France.\', \'Lille University Hospital (CHU Lille), French National Institute of Health and Medical Research (Inserm), University of Lille, U1189 - ONCO-THAI, 59000, Lille, France.\']
?:citedBy
  • -1
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?:doi
?:doi
  • 10.1007/s10916-021-01745-4
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?:journal
  • Journal of medical systems
is ?:pmid of
?:pmid
?:pmid
  • 34101042
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  • 0.619
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  • 57
?:title
  • Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19.
?:type
?:year
  • 2021

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