| 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 | 119 | 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 | 45 | 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), 191-221, 2021 | 17 | 2021 |
| 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 | 16 | 2022 |
| Multifidelity approaches for uncertainty quantification J Biehler, M Mäck, J Nitzler, M Hanss, PS Koutsourelakis, WA Wall GAMM‐Mitteilungen, e201900008, 2019 | 16 | 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 | 13 | 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 | 13 | 2015 |
| 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 | 12 | 2022 |
| 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 | 12 | 2019 |
| 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 |
| 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 | 11 | 2014 |
| 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 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 | 7 | 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 | 7 | 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 | 4 | 2023 |
| Bayesian Windkessel calibration using optimized 0D surrogate models J Richter, J Nitzler, L Pegolotti, K Menon, J Biehler, WA Wall, ... arXiv preprint arXiv:2404.14187, 2024 | 1 | 2024 |
| Patient-specific prediction of regional lung mechanics in ARDS patients with physics-based models: A validation study M Rixner, M Ludwig, M Lindner, I Frerichs, A Sablewski, KR Wichmann, ... arXiv preprint arXiv:2408.14607, 2024 | | 2024 |
| Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm C Striegel, J Biehler, G Kauermann Computational Statistics 39 (5), 2771-2789, 2024 | | 2024 |
Wolfgang A. WallProfessor of Computational Mechanics, Technical University of Munich (TUM)Bestätigte E-Mail-Adresse bei lnm.mw.tum.de
