Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models

IEEE Transactions on Medical Imaging(2022)

Cited 10|Views20
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Abstract
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 so...
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Key words
Tumors,Numerical models,Computational modeling,Brain modeling,Mathematical models,Biological system modeling,Bayes methods
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