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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},
}
Gast ::