Issue Date | Title | Involved Person(s) |
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 |
16-Nov-2020 | 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 |
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 |
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 |
1-Feb-2020 | Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment | Detmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe, et al |
21-Jan-2020 | Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms | Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto |
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 |
2020 | Production and secretion dynamics of prokaryotic Penicillin G acylase in Pichia pastoris | Borčinová, Martina; Raschmanová, Hana; Zamora, Iwo; Looser, Verena; Marešová, Helena, 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 |
Jul-2019 | Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics | Detmer, Felicitas J.; Hadad, Sara; Chung, Bong Jae; Mut, Fernando; Slawski, Martin, et al |
2019 | Understanding morphological irregularity : a rater-based study | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
2019 | Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms | Hirsch, Sven; Juchler, Norman |
2019 | Identification of clinically relevant characteristics of intracranial aneurysm morphology | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
30-Oct-2018 | External validation of cerebral aneurysm rupture probability model with data from two patient cohorts | Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven, et al |
4-Oct-2018 | Clinical data sharing : a data scientist's perspective | Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel, et al |