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 | 111 | 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 | 43 | 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 | 33 | 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 | 32 | 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 | 14 | 2021 |
Multifidelity approaches for uncertainty quantification J Biehler, M Mäck, J Nitzler, M Hanss, PS Koutsourelakis, WA Wall GAMM‐Mitteilungen, e201900008, 2019 | 14 | 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 | 12 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 9 | 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 | 8 | 2022 |
Efficient Uncertainty Quantification for Large-Scale Biomechanical Models Using a Bayesian Multi-Fidelity Approach J Biehler Dissertation, München, Technische Universität München, 2016, 2016 | 8 | 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 | 6 | 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 | 6 | 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 | 6 | 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 | | 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 | | 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 | | 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 | | 2018 |