Jonas Biehler
Jonas Biehler
Institute for Computational Mechanics
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Cited by
Cited by
Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme
J Biehler, MW Gee, WA Wall
Biomechanics and modeling in mechanobiology 14, 489-513, 2015
Probabilistic noninvasive prediction of wall properties of abdominal aortic aneurysms using Bayesian regression
J Biehler, S Kehl, MW Gee, F Schmies, J Pelisek, A Maier, C Reeps, ...
Biomechanics and modeling in mechanobiology 16, 45-61, 2017
Interaction of biomechanics with extracellular matrix components in abdominal aortic aneurysm wall
F Tanios, MW Gee, J Pelisek, S Kehl, J Biehler, V Grabher-Meier, WA Wall, ...
European Journal of Vascular and Endovascular Surgery 50 (2), 167-174, 2015
The impact of personalized probabilistic wall thickness models on peak wall stress in abdominal aortic aneurysms
J Biehler, WA Wall
International journal for numerical methods in biomedical engineering 34 (2 …, 2018
Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling
S Brandstaeter, SL Fuchs, J Biehler, RC Aydin, WA Wall, CJ Cyron
Journal of Elasticity 145 (1-2), 191-221, 2021
Multifidelity approaches for uncertainty quantification
J Biehler, M Mäck, J Nitzler, M Hanss, PS Koutsourelakis, WA Wall
GAMM‐Mitteilungen, e201900008, 2019
A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations
J Nitzler, J Biehler, N Fehn, PS Koutsourelakis, WA Wall
arXiv preprint arXiv:2001.02892, 2020
Material modeling of cardiac valve tissue: Experiments, constitutive analysis and numerical investigation
S Heyden, A Nagler, C Bertoglio, J Biehler, MW Gee, WA Wall, M Ortiz
Journal of biomechanics 48 (16), 4287-4296, 2015
Biomechanics and gene expression in abdominal aortic aneurysm
C Reeps, S Kehl, F Tanios, J Biehler, J Pelisek, WA Wall, HH Eckstein, ...
Journal of vascular surgery 60 (6), 1640-1647. e2, 2014
QUEENS—a software platform for uncertainty quantification, physicsinformed machine learning, Bayesian optimization, inverse problems and simulation analytics: user guide
J Biehler, J Nitzler, WA Wall, V Gravemeier
AdCo EngineeringGW, 2019
Challenges of order reduction techniques for problems involving polymorphic uncertainty
D Pivovarov, K Willner, P Steinmann, S Brumme, M Müller, ...
GAMM‐Mitteilungen 42 (2), e201900011, 2019
Ultraprotective versus apneic ventilation in acute respiratory distress syndrome patients with extracorporeal membrane oxygenation: a physiological study
PT Graf, C Boesing, I Brumm, J Biehler, KW Müller, M Thiel, P Pelosi, ...
Journal of Intensive Care 10 (1), 12, 2022
Efficient Uncertainty Quantification for Large-Scale Biomechanical Models Using a Bayesian Multi-Fidelity Approach
J Biehler
Dissertation, München, Technische Universität München, 2016, 2016
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
J Nitzler, J Biehler, N Fehn, PS Koutsourelakis, WA Wall
Computer Methods in Applied Mechanics and Engineering 400, 115600, 2022
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm
C Striegel, J Biehler, WA Wall, G Kauermann
Technometrics 64 (3), 279-290, 2022
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm
C Striegel, J Biehler, WA Wall, G Kauermann
Technometrics 64 (3), 279-290, 2022
In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs
MJ Grill, J Biehler, KR Wichmann, D Rudlstorfer, M Rixner, M Brei, ...
arXiv preprint arXiv:2307.04757, 2023
Method, computer program, system and ventilator, for determining patient-specific respiratory parameters on a ventilator
KW Müller, J Biehler, KR Wichmann, W Wall
US Patent App. 17/995,694, 2023
Weighted high dimensional data reduction of finite Element Features--An Application on High Pressure of an Abdominal Aortic Aneurysm
C Striegel, G Kauermann, J Biehler
arXiv preprint arXiv:2305.03732, 2023
Parametric model order reduction using POD for coupled nonlinear cardiac mechanics
MR Pfaller, J Lang, MC Varona, J Biehler, C Bertoglio, WA Wall
6th International Conference on Computational Mechancis-ECCM2018, Glasgow …, 2018
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