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@INPROCEEDINGS{Manjunatha:861849,
      author       = {Manjunatha, Kiran and Behr, Marek and Vogt, Felix and
                      Reese, Stefanie},
      title        = {{A} coupled multiphysics approach for modelling in-stent
                      restenosis},
      address      = {[Barcelona, Spain]},
      publisher    = {Scipedia, S.L},
      reportid     = {RWTH-2023-00262},
      pages        = {1-10},
      year         = {2022},
      comment      = {The 8th European Congress on Computational Methods in
                      Applied Sciences and Engineering, ECCOMAS Congress 2022, 5-9
                      June 2022, Oslo, Norway / ECCOMAS, NoACM - Nordic
                      Association of Computational Mechanics},
      booktitle     = {The 8th European Congress on
                       Computational Methods in Applied
                       Sciences and Engineering, ECCOMAS
                       Congress 2022, 5-9 June 2022, Oslo,
                       Norway / ECCOMAS, NoACM - Nordic
                       Association of Computational Mechanics},
      month         = {Jun},
      date          = {2022-06-05},
      organization  = {8. European Congress on Computational
                       Methods in Applied Sciences and
                       Engineering, Oslo (Norway), 5 Jun 2022
                       - 9 Jun 2022},
      cin          = {311510 / 531010-2 / 416010},
      cid          = {$I:(DE-82)311510_20140620$ / $I:(DE-82)531010-2_20140620$ /
                      $I:(DE-82)416010_20140620$},
      pnm          = {Arterien - In-Stent-Restenose in koronaren Arterien - In
                      silico-Untersuchungen basierend auf patientenspezifischen
                      Daten und Metamodellierung (465213526) / Medikamente
                      freisetzende Koronarstents in stenotischen Arterien
                      (395712048) / Experimentelle Untersuchungen und Modellierung
                      von biohybriden Herzklappen inklusive Gewebereifung – von
                      in vitro zu in situ Tissue Engineering (403471716) / 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)403471716 / G:(GEPRIS)441884911},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.23967/eccomas.2022.004},
      url          = {https://publications.rwth-aachen.de/record/861849},
}