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Issue DateTitleInvolved Person(s)
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
26-Jun-2022AneuX morphology databaseJuchler, Norman; Bijlenga, Philippe; Hirsch, Sven
2022Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease modelSpinner, Georg R.; Delucchi, Matteo; Morel, Sandrine; Bijlenga, Philippe; Hirsch, Sven
2022Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factorsDelucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al
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
16-Nov-2020Genome-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
1-Feb-2020Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessmentDetmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe, et al
Jan-2020Comparison of statistical learning approaches for cerebral aneurysm rupture assessmentDetmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven, et al