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@ARTICLE{Cornelissen:971125,
      author       = {Cornelissen, Anne and Florescu, Roberta and Reese, Stefanie
                      and Behr, Marek and Ranno, Anna Maria and Manjunatha, Kiran
                      and Schaaps, Nicole and Böhm, Christian and Liehn, Elisa
                      Anamaria and Zhao, Liguo and Nilcham, Pakhwan and Milzi,
                      Andrea and Schröder, Jörg Walter and Vogt, Felix Jan},
      title        = {{I}n-vivo assessment of vascular injury for the prediction
                      of in-stent restenosis},
      journal      = {International journal of cardiology},
      volume       = {388},
      issn         = {1874-1754},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2023-09487},
      pages        = {131151},
      year         = {2023},
      cin          = {416010 / 531010-2 / 311510 / 811001-1},
      ddc          = {610},
      cid          = {$I:(DE-82)416010_20140620$ / $I:(DE-82)531010-2_20140620$ /
                      $I:(DE-82)311510_20140620$ / $I:(DE-82)811001-1_20140620$},
      pnm          = {DFG project 465213526 - In-Stent-Restenose in koronaren
                      Arterien - In silico-Untersuchungen basierend auf
                      patientenspezifischen Daten und Metamodellierung (465213526)
                      / DFG project 395712048 - Medikamente freisetzende
                      Koronarstents in stenotischen Arterien: medizinische
                      Untersuchung und numerische Modellierung (395712048) / DFG
                      project 441884911 - SPP 2311: Robuste Kopplung
                      kontinuumsbiomechanischer in silico Modelle für aktive
                      biologische Systeme als Vorstufe klinischer Applikationen -
                      Co-Design von Modellierung, Numerik und Nutzbarkeit
                      (441884911)},
      pid          = {G:(GEPRIS)465213526 / G:(GEPRIS)395712048 /
                      G:(GEPRIS)441884911},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001059655000001},
      pubmed       = {pmid:37423572},
      doi          = {10.1016/j.ijcard.2023.131151},
      url          = {https://publications.rwth-aachen.de/record/971125},
}