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 …

Delineating brain tumor boundaries from magnetic resonance images is an essential task for
the analysis of brain cancer. We propose a fully automatic method for brain tissue …

Mathematical modeling has become a valuable tool that strives to complement conventional
biomedical research modalities in order to predict experimental outcome, generate new …

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 …

Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

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 …

Background A plethora of publicly available biomedical resources do currently exist and are
constantly increasing at a fast rate. In parallel, specialized repositories are been developed …

Glioma, especially glioblastoma, is a leading cause of brain cancer fatality involving highly
invasive and neoplastic growth. Diffusive models of glioma growth use variations of the …

The epidermal growth factor receptor (EGFR) is a major target for drugs in treating lung
carcinoma as it promotes cell growth and tumor progression. Structural studies have …

Applying diffusive models for simulating the spatiotemporal change of concentration of
tumour cells is a modern application of predictive oncology. Diffusive models are used for …