| Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data E Lima, JT Oden, B Wohlmuth, A Shahmoradi, DA Hormuth II, ... Computer methods in applied mechanics and engineering 327, 277-305, 2017 | 86 | 2017 |
| Large deformation shape uncertainty quantification in acoustic scattering R Hiptmair, L Scarabosio, C Schillings, C Schwab Advances in Computational Mathematics, 1-44, 2018 | 74 | 2018 |
| Analysis of boundary effects on PDE-based sampling of Whittle--Matérn random fields U Khristenko, L Scarabosio, P Swierczynski, E Ullmann, B Wohlmuth SIAM/ASA Journal on Uncertainty Quantification 7 (3), 948-974, 2019 | 47 | 2019 |
| On a subdiffusive tumour growth model with fractional time derivative M Fritz, C Kuttler, ML Rajendran, B Wohlmuth, L Scarabosio IMA Journal of Applied Mathematics 86 (4), 688-729, 2021 | 22 | 2021 |
| Shape uncertainty quantification for scattering transmission problems L Scarabosio ETH Zurich, 2016 | 10 | 2016 |
| Deep neural network surrogates for nonsmooth quantities of interest in shape uncertainty quantification L Scarabosio SIAM/ASA Journal on Uncertainty Quantification 10 (3), 975-1011, 2022 | 9 | 2022 |
| Multilevel Monte Carlo on a high-dimensional parameter space for transmission problems with geometric uncertainties L Scarabosio International Journal for Uncertainty Quantification 9 (6), 2019 | 8 | 2019 |
| Environmental stress level to model tumor cell growth and survival S Schönfeld, A Ozkan, L Scarabosio, MN Rylander, C Kuttler arXiv preprint arXiv:2201.06985, 2022 | 7 | 2022 |
| Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods L Scarabosio, B Wohlmuth, JT Oden, D Faghihi Computers & Mathematics with Applications, 2019 | 6 | 2019 |
| Trefftz approximations: a new framework for nonreflecting boundary conditions A Paganini, L Scarabosio, R Hiptmair, I Tsukerman IEEE Transactions on Magnetics 52 (3), 1-4, 2015 | 3 | 2015 |
| Using systemic modeling and Bayesian calibration to investigate the role of the tumor microenvironment on chemoresistance S Schönfeld, L Scarabosio, A Ozkan, MN Rylander, C Kuttler arXiv preprint arXiv:2310.19688, 2023 | 1 | 2023 |
| Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains W van Harten, L Scarabosio arXiv preprint arXiv:2308.06188, 2023 | 1 | 2023 |
| Application of the thin-film equations in modelling of Marangoni flow patterns amongst surfactant source and drain locations J Careaga, PA Korevaar, V Nikolić, L Scarabosio arXiv preprint arXiv:2407.11868, 2024 | | 2024 |
Barbara WohlmuthProefssorin für Mathematik, TU MünchenBestätigte E-Mail-Adresse bei ma.tum.de
