Showing results 1 to 20 of 64
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| Issue Date | Title | Involved Person(s) |
| 2014 | 2D viscoelastic thrombosis model for stented aneurysms | Egger, Julian; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven |
| 2015 | A partial domain approach to enable aortic flow simulation without turbulent modeling | Koltukluoglu, Taha S.; Binter, Christian; Tanner, Christine; Hirsch, Sven; Kozerke, Sebastian, et al |
| 2015 | A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection | Koltukluoglu, Taha Sabri; Hirsch, Sven; Binter, Christian; Kozerke, Sebastian; Szekely, Gabor, et al |
| 15-Nov-2023 | An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm disease | Delucchi, Matteo; Spinner, Georg R.; Bijlenga, Philippe; Morel, Sandrine; Hostettler, Isabel, et al |
| 13-Apr-2018 | Aneurysm shape as a diagnostic tool | Juchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan, et al |
| 8-Feb-2018 | Aneurysm shape as a diagnostic tool : a machine learning approach | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
| 26-Jun-2022 | AneuX morphology database | Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven |
| Feb-2021 | Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors | Bakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain, et al |
| 20-Jun-2022 | Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 2022 | Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 30-Aug-2017 | Big Data : machine learning to identify shape biomarkers in intracranial aneurysm | Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel |
| 4-Oct-2018 | Clinical data sharing : a data scientist's perspective | Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel, et al |
| 2013 | Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shape | Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel |
| Jan-2020 | Comparison of statistical learning approaches for cerebral aneurysm rupture assessment | Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven, et al |
| 2015 | Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modelling | Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven, et al |
| 2014 | Computational stent placement in transcatheter aortic valve implantation | Russ, Christoph; Hopf, Raoul; Sündermann, Simon H.; Born, Silvia; Hirsch, Sven, et al |
| 8-Feb-2018 | Correlation of CFD with wall enhancement | Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel, et al |
| 2018 | Effect of input image representation for results of neural network to detect cerebral aneurysms | Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe, et al |
| 2021 | Effects of low and high aneurysmal wall shear stress on endothelial cell behavior : differences and similarities | Morel, Sandrine; Schilling, Sabine; Diagbouga, Mannekomba R.; Delucchi, Matteo; Bochaton-Piallat, Marie-Luce, et al |
| 2015 | Emerging practices in foresight and their use in STI policy | Daheim, Cornelia; Hirsch, Sven |
