Showing results 1 to 20 of 34
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Issue Date | Title | Involved Person(s) |
13-Apr-2018 | Aneurysm shape as a diagnostic tool | Juchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan, et al |
8-Feb-2018 | Aneurysm shape as a diagnostic tool : a machine learning approach | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al |
26-Jun-2022 | AneuX morphology database | Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven |
30-Aug-2017 | Big Data : machine learning to identify shape biomarkers in intracranial aneurysm | Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel |
18-Aug-2023 | Circle of Willis configurations in stroke patients | Musio, Fabio; Juchler, Norman; Yang, Kaiyuan; Menze, Björn; Hirsch, Sven |
4-Oct-2018 | Clinical data sharing : a data scientist's perspective | Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel, et al |
8-Feb-2018 | Correlation of CFD with wall enhancement | Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel, et al |
6-Jul-2023 | Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor | Reissenberger, Pamela; Serfözö, Peter; Piper, Diana; Juchler, Norman; Glanzmann, Sara, et al |
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 |