We present a framework for modeling gliomas growth and their mechanical impact on the
surrounding brain tissue (the so-called, mass-effect). We employ an Eulerian continuum …

We present a numerical scheme for solving a parameter estimation problem for a model of
low-grade glioma growth. Our goal is to estimate the spatial distribution of tumor …

Glioblastoma multiforme (GBM) is the most aggressive and malignant among brain tumors.
In addition to uncontrolled proliferation and genetic instability, GBM is characterized by a …

Glioma is a common type of primary brain tumour, with a strongly invasive potential, often
exhibiting non-uniform, highly irregular growth. This makes it difficult to assess the degree of …

Tracking gliomas dynamics on MRI has became more and more important for therapeutic
management. Powerful computational tools have been recently developed in this context …

Image-based modeling of tumor growth combines methods from cancer simulation and
medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas …

A mathematical model has been developed to describe and quantify the growth and
invasion of gliomas (the most common type of primary brain tumors). The model has already …

Objectives: Gliomas are an important form of brain cancer, with high mortality rate.
Mathematical models are often used to understand and predict their behaviour. However …

In this work, we develop a computational tool to predict the patient‐specific evolution of a
highly malignant brain tumour, the glioblastoma multiforme (GBM), and its response to …

Over the last 10 years increasingly complex mathematical models of cancerous growths
have been developed, especially on solid tumors, in which growth primarily comes from …