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@ARTICLE{TayebiArasteh:958488,
      author       = {Tayebi Arasteh, Soroosh and Isfort, Peter and Sähn,
                      Marwin-Jonathan and Müller-Franzes, Gustav and Khader,
                      Firas and Kather, Jakob Nikolas and Kuhl, Christiane and
                      Nebelung, Sven and Truhn, Daniel},
      title        = {{C}ollaborative training of medical artificial intelligence
                      models with non-uniform labels},
      journal      = {Scientific reports},
      volume       = {13},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {RWTH-2023-05304},
      pages        = {6046},
      year         = {2023},
      cin          = {532010-2 / 531030-2},
      ddc          = {600},
      cid          = {$I:(DE-82)532010-2_20140620$ /
                      $I:(DE-82)531030-2_20140620$},
      pnm          = {OA - Open Access Publikation mit Unterstützung der
                      Universitätsbibliothek der RWTH Aachen University
                      (X021000-OA) / Nationales Forschungsnetzwerk der
                      Universitätsmedizin zu Covid-19 (01KX2021) /
                      BMG-ZMVI1-2520DAT111 - Diagnosestellung und
                      Risikostratifizierung von Lebererkrankungen mittels Deep
                      Learning anhand von klinischen Routinedaten (DEEP LIVER)
                      (BMG-ZMVI1-2520DAT111) / Verbund PEARL - Prävention von
                      Darmkrebs im jungen und mittleren Erwachsenenalter -
                      Standort Dresden (01KD2104C)},
      pid          = {G:(DE-82)X021000-OA / G:(DE-82)BMBF-01KX2021 /
                      G:(DE-82)BMG-ZMVI1-2520DAT111 / G:(BMBF)01KD2104C},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000984454500080},
      doi          = {10.1038/s41598-023-33303-y},
      url          = {https://publications.rwth-aachen.de/record/958488},
}