Showing results 9 to 28 of 34
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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 |
2019 | Identification of clinically relevant characteristics of intracranial aneurysm morphology | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, 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 |
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 |
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 |
26-Jun-2023 | Radiological feature heterogeneity supports etiological diversity among patient groups in Meniere's disease | Bächinger, David; Filidoro, Noemi; Naville, Marc; Juchler, Norman; Kurtcuoglu, Vartan, 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 |
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 |
27-Aug-2020 | Shape-based analysis of intracranial aneurysms | Kurtcuoglu, Vartan; Hirsch, Sven; Pajarola, Renato; Juchler, Norman |
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 |
9-Jun-2016 | Shape-based modeling of aneurysmal disease status | Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe, et al |
2022 | The role of shape for aneurysm risk assessment | Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven |