| Issue Date | Title | Involved Person(s) |
| 2014 | 2D viscoelastic thrombosis model for stented aneurysms | Egger, Julian; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven |
| 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 |
| 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 |
| 8-Feb-2018 | Correlation of CFD with wall enhancement | Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel, et al |
| 2019 | Identification of clinically relevant characteristics of intracranial aneurysm morphology | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
| 2022 | Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis | Morel, Sandrine; Hostettler, Isabel C.; Spinner, Georg R.; Bourcier, Romain; Pera, Joanna, et al |
| 2017 | PHASES score for the management of intracranial aneurysm | Bijlenga, Philippe; Gondar, Renato; Schilling, Sabine; Morel, Sandrine; Hirsch, Sven, et al |
| 1-Jul-2019 | Plea for an international Aneurysm Data Bank : description and perspectives | Bijlenga, Philippe; Morel, Sandrine; Hirsch, Sven; Schaller, Karl; Rüfenacht, Daniel |
| 17-Mar-2020 | Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms | Juchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel, et al |
| 12-Jul-2018 | Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms | Juchler, Norman; Schilling, Sabine; Philippe, Bijlenga; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
| 4-Jun-2020 | Shape irregularity of the intracranial aneurysm lumen exhibits diagnostic value | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Morel, Sandrine; Rüfenacht, Daniel, et al |
| 9-Jun-2016 | Shape-based modeling of aneurysmal disease status | Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe, et al |
| 2015 | The role of clot maturation inside intracranial aneurysms using a viscoelastic thrombosis model | Egger, Julien; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven |
| 2019 | Understanding morphological irregularity : a rater-based study | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
| Jan-2018 | Using machine learning to identify shape biomarkers in intracranial aneurysm | Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel |
| 12-Apr-2017 | Using shape descriptors to categorize intracranial aneurysms | Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe, et al |
