Bayesian inference of tissue heterogeneity for individualized prediction of glioma growth

B Liang, J Tan, L Lozenski, DA Hormuth… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
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 growth …

Learnable personalization of brain tumor growth models

I Ezhov - 2023 - mediatum.ub.tum.de
Treatment planning for patients diagnosed with brain tumors requires understanding the
disease dynamics. Mathematical formalization of the tumor progression often implies …

Set-Valued Stabilization of Reaction-Diffusion Model by Chemotherapy and or Radiotherapy

A Moustafid - Fundamental Journal of Mathematics and Applications - dergipark.org.tr
This paper aims to control partial differential equations, modeling cancer chemotherapy and
or radiotherapy, so in order to asymptotically stabilize the tumor density. Viability kernel of …