Publication: Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
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Ezhov, I., Mot, T., Shit, S., Lipková, J., Paetzold, J. C., Kofler, F., Pellegrini, C., Kollovieh, M., Navarro, F., Li, H., Metz, M., Wiestler, B., & Menze, B. (2022). Geometry-aware neural solver for fast Bayesian calibration of brain tumor models. IEEE Transactions on Medical Imaging, 41, 1269–1278. https://doi.org/10.1109/tmi.2021.3136582
Abstract
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Modeling of brain tumor dynamics has the potential to advance therapeutic planning. Current modeling approaches resort to numerical solvers that simulate the tumor progression according to a given differential equation. Using highly-efficient numerical solvers, a single forward simulation takes up to a few minutes of compute. At the same time, clinical applications of tumor modeling often imply solving an inverse problem, requiring up to tens of thousands of forward model evaluations when used for a Bayesian model personalization via
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- Ezhov, Ivan
- Mot, Tudor
- Shit, Suprosanna
- Lipková, Jana
- Paetzold, Johannes C
- Kofler, Florian
- Pellegrini, Chantal
- Kollovieh, Marcel
- Navarro, Fernando
- Li, Hongwei
- Metz, Marie
- Wiestler, Benedikt
- Menze, Bjoern
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Ezhov, I., Mot, T., Shit, S., Lipková, J., Paetzold, J. C., Kofler, F., Pellegrini, C., Kollovieh, M., Navarro, F., Li, H., Metz, M., Wiestler, B., & Menze, B. (2022). Geometry-aware neural solver for fast Bayesian calibration of brain tumor models. IEEE Transactions on Medical Imaging, 41, 1269–1278. https://doi.org/10.1109/tmi.2021.3136582
