Showing results 11 to 30 of 33
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| Issue Date | Title | Involved Person(s) |
| 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 |
| 2022 | Exploring intracranial aneurysm instability markers to improve disease modeling | Dupuy, Nicolas; Juchler, Norman; Morel, Sandrine; Kwak, Brenda R.; Hirsch, Sven, et al |
| 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 |
| 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 |
| 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 |
| 2019 | Identification of clinically relevant characteristics of intracranial aneurysm morphology | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, 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 |
| 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 |
| 2015 | Intracranial aneurysms rupture risk clinical assessment | Bijlenga, Philippe; Hirsch, Sven |
| 7-Sep-2017 | Measuring the perceived morphological complexity of intracranial aneurysms | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven |
| 2022 | Modeling the location-dependency of aneurysm shape : a morphometric comparative study | Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven |
| 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 |
| 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 |
| 3-May-2022 | Shape trumps size : image-based morphological analysis reveals that the 3D shape discriminates intracranial aneurysm disease status better than aneurysm size | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven |
| 1-Sep-2016 | Shape-based assessment of intracranial aneurysm disease status – a machine learning approach | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven |
| 9-Jun-2016 | Shape-based modeling of aneurysmal disease status | Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe, et al |
| 2022 | Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model | Spinner, Georg R.; Delucchi, Matteo; Morel, Sandrine; Bijlenga, Philippe; Hirsch, Sven |
| 2022 | The role of shape for aneurysm risk assessment | Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven |
