MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …

In silico cancer models have demonstrated great potential as a tool to improve drug design,
optimise the delivery of drugs to target sites in the host tissue and, hence, improve …

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 …

This paper develops a three-dimensional in silico hybrid model of cancer, which describes
the multi-variate phenotypic behaviour of tumour and host cells. The model encompasses …

More and more frequently, computational biomechanics deals with problems where the
portion of physical reality to be modeled spans over such a large range of spatial and …

Glioblastoma remains a clinical challenge in spite of years of extensive research. Novel
approaches are needed in order to integrate the existing knowledge. This is the potential …

Mathematical models have been ubiquitously employed in various applications. One of
these applications that arose in the past few decades is cerebral tumor growth modeling …

The brain may undergo functional reorganizations. Selective loss of sensory input or training
within a restricted part of a modality cause “shifts” within for instance somatotopic or …

Mathematical modeling of cerebral tumor growth is of great importance in clinics. It can help
in understanding the physiology of tumor growth, future prognosis of tumor shape and …

Background Gliomas are the most common types of brain cancer, well known for their
aggressive proliferation and the invasive behavior leading to a high mortality rate. Several …