Showing results 21 to 40 of 95
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| Issue Date | Title | Involved Person(s) |
| 30-Aug-2017 | Big Data : machine learning to identify shape biomarkers in intracranial aneurysm | Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel |
| 2020 | Biomechanical analysis of the humeral head coverage, glenoid inclination and acromio-glenoidal height as isolated components of the critical shoulder angle in a dynamic cadaveric shoulder model | Bouaicha, Samy; Kuster, Roman; Schmid, Bruno; Baumgartner, Daniel; Zumstein, Matthias, et al |
| 2016 | Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation | Albert, Carlo; Ulzega, Simone; Stoop, Ruedi |
| 31-Aug-2017 | Boosting Bayesian parameter inference of stochastic differential equation models | Ulzega, Simone |
| 11-Apr-2017 | Boosting parameter inference with stochastic models using molecular dynamics and high-performance computing | Ulzega, Simone |
| 1-Jan-2018 | Calibrating stochastic models for understanding solar activity | Ulzega, Simone |
| 2021 | Can stochastic resonance explain recurrence of Grand Minima? | Albert, Carlo; Ferriz-Mas, Antonio; Gaia, Filippo; Ulzega, Simone |
| May-2020 | Can stochastic resonance explain the amplification of planetary tidal forcing? | Albert, Carlo; Gaia, Filippo; Ulzega, Simone |
| 2019 | Can stochastic resonance explain the amplification of planetary tidal forcing? | Albert, Carlo; Ulzega, Simone |
| 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 |
| 2013 | Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shape | Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel |
| Jan-2020 | Comparison of statistical learning approaches for cerebral aneurysm rupture assessment | Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven, et al |
| 2015 | Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modelling | Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven, et al |
| 2014 | Computational stent placement in transcatheter aortic valve implantation | Russ, Christoph; Hopf, Raoul; Sündermann, Simon H.; Born, Silvia; Hirsch, Sven, et al |
| 8-Feb-2018 | Correlation of CFD with wall enhancement | Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel, et al |
| 2019 | Detecting prolonged sitting bouts with the ActiGraph GT3X | Kuster, Roman; Grooten, Wilhelmus J. A.; Baumgartner, Daniel; Blom, Victoria; Hagströmer, Maria, 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 | Dynamic DNA damage and repair modeling : bridging the gap between experimental damage readout and model structure | Weyland, Mathias; Thumser-Henner, Pauline; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke, et al |
| 2019 | Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure | Weyland, Mathias; Thumser-Henner, Pauline; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke, et al |
