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@ARTICLE{Dursun:819832,
      author       = {Dursun, Gözde and Tandale, Saurabh Balkrishna and
                      Eschweiler, Jörg and Tohidnezhad, Mersedeh and Markert,
                      Bernd and Stoffel, Marcus},
      title        = {{R}ecognition of tenogenic differentiation using
                      convolutional neural network},
      journal      = {Current directions in biomedical engineering},
      volume       = {6},
      number       = {3},
      issn         = {2364-5504},
      address      = {Berlin},
      publisher    = {De Gruyter},
      reportid     = {RWTH-2021-05317},
      pages        = {200-204},
      year         = {2020},
      month         = {Sep},
      date          = {2020-09-29},
      organization  = {Annual Meeting of the German Society
                       of Biomedical Engineering, Leipzig
                       (Germany), 29 Sep 2020 - 1 Oct 2020},
      cin          = {411110 / 534000-2 / 511001-5},
      ddc          = {570},
      cid          = {$I:(DE-82)411110_20140620$ / $I:(DE-82)534000-2_20140620$ /
                      $I:(DE-82)511001-5_20140620$},
      pnm          = {PFSDS004 - Einsatz künstlicher Intelligenz zur
                      Knorpelforschung (EXS-PF-PFSDS004) / ERS Prep Fund -
                      Exploratory Research Space: Prep Fund als
                      Anschubfinanzierung zur Schließung strategischer Lücken
                      (EXS-PF) / EXS - Excellence Strategy (EXS)},
      pid          = {G:(DE-82)EXS-PF-PFSDS004 / G:(DE-82)EXS-PF / G:(DE-82)EXS},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      doi          = {10.1515/cdbme-2020-3051},
      url          = {https://publications.rwth-aachen.de/record/819832},
}