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cs.CE2023★ 1 cited
Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration
Baoshan Liang, Luke Lozenski, Umberto Villa +1
We discuss solution algorithms for calibrating a tumor growth model using imaging data posed as a deterministic inverse problem. The forward model consists of a nonlinear and time-…
cs.CE2022★ 1 cited
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth
Baoshan Liang, Jingye Tan, Luke Lozenski +4
Reliably predicting the future spread of brain tumors using imaging data and on a subject-specific basis requires quantifying uncertainties in data, biophysical models of tumor gro…