Showing results 12 to 31 of 40
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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 |
| 2015 | Emerging practices in foresight and their use in STI policy | Daheim, Cornelia; Hirsch, Sven |
| 2017 | Endothelial cell elongation under shear stress : a computational model to consolidate observed cell shape changes | Schilling, Sabine; Morel, Sandrine; Bochaton-Piallat, Marie-Luce; Kwak, Brenda; Hirsch, Sven |
| 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 |
| 2019 | How universities can lead the transformation to digital health | Melloh, Markus; Hirsch, Sven |
| 2019 | Identification of clinically relevant characteristics of intracranial aneurysm morphology | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
| 2014 | Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents | Gessat, Michael; Hopf, Raoul; Pollok, Thomas; Russ, Christoph; Frauenfelder, Thomas, 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 |
| 2015 | Intracranial aneurysms rupture risk clinical assessment | Bijlenga, Philippe; Hirsch, Sven |
| 2015 | Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters | Schneider, Matthias; Hirsch, Sven; Weber, Bruno; Székely, Gábor; Menze, Bjoern H. |
| 7-Sep-2017 | Measuring the perceived morphological complexity of intracranial aneurysms | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven |
| 15-Sep-2015 | On the utility of 3D Zernike Moment Invariants to assess aneurysm disease status | Juchler, Norman; Ebnöther, Ueli; Schilling, Sabine; Hirsch, Sven; Kurtcuoglu, Vartan |
| 2017 | PHASES score for the management of intracranial aneurysm | Bijlenga, Philippe; Gondar, Renato; Schilling, Sabine; Morel, Sandrine; Hirsch, Sven, 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 |
| 2019 | Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms | Hirsch, Sven; Juchler, Norman |
| 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 |
| 2013 | Scenario planning with integrated quantification : managing uncertainty in corporate strategy building | Hirsch, Sven; Burggraf, Paul; Daheim, Cornelia |
| 15-Sep-2016 | Shape-based assessment of intracranial aneurysm disease status | Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; 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 |
