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Issue DateTitleInvolved Person(s)
20142D viscoelastic thrombosis model for stented aneurysmsEgger, Julian; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven
2015A partial domain approach to enable aortic flow simulation without turbulent modelingKoltukluoglu, Taha S.; Binter, Christian; Tanner, Christine; Hirsch, Sven; Kozerke, Sebastian, et al
2015A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projectionKoltukluoglu, Taha Sabri; Hirsch, Sven; Binter, Christian; Kozerke, Sebastian; Szekely, Gabor, et al
15-Nov-2023An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm diseaseDelucchi, Matteo; Spinner, Georg R.; Bijlenga, Philippe; Morel, Sandrine; Hostettler, Isabel, et al
13-Apr-2018Aneurysm shape as a diagnostic toolJuchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan, et al
8-Feb-2018Aneurysm shape as a diagnostic tool : a machine learning approachJuchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al
26-Jun-2022AneuX morphology databaseJuchler, Norman; Bijlenga, Philippe; Hirsch, Sven
Feb-2021Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factorsBakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain, et al
20-Jun-2022Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factorsDelucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al
2022Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factorsDelucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al
30-Aug-2017Big Data : machine learning to identify shape biomarkers in intracranial aneurysmHirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel
18-Aug-2023Circle of Willis configurations in stroke patientsMusio, Fabio; Juchler, Norman; Yang, Kaiyuan; Menze, Björn; Hirsch, Sven
4-Oct-2018Clinical data sharing : a data scientist's perspectiveJuchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel, et al
2013Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shapeHirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel
Jan-2020Comparison of statistical learning approaches for cerebral aneurysm rupture assessmentDetmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven, et al
2015Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modellingNeufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven, et al
2014Computational stent placement in transcatheter aortic valve implantationRuss, Christoph; Hopf, Raoul; Sündermann, Simon H.; Born, Silvia; Hirsch, Sven, et al
8-Feb-2018Correlation of CFD with wall enhancementAnzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel, et al
2018Effect of input image representation for results of neural network to detect cerebral aneurysmsWatanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe, et al
2021Effects of low and high aneurysmal wall shear stress on endothelial cell behavior : differences and similaritiesMorel, Sandrine; Schilling, Sabine; Diagbouga, Mannekomba R.; Delucchi, Matteo; Bochaton-Piallat, Marie-Luce, et al