Tumor heterogeneity is a crucial area of cancer research wherein inter-and intra-tumor
differences are investigated to assess and monitor disease development and progression …

Purpose Tumor heterogeneity in medical imaging is a current research trend due to its
potential relationship with tumor malignancy. The aim of this study is to analyze the effect of …

Radiomics is an emerging field of medical image analysis research where quantitative
measurements are obtained from radiological images that can be utilized to predict patient …

By definition, tumours are heterogeneous. They are defined by marked differences in cells,
microenvironmental factors (oxygenation levels, pH, VEGF, VPF and TGF-α) metabolism …

Background. The quantification of tumor heterogeneity with molecular images, by analyzing
the local or global variation in the spatial arrangements of pixel intensity with texture …

Background While the association between diffusion and perfusion magnetic resonance
imaging (MRI) and survival in glioblastoma is established, prognostic models for patients are …

Regional variations in tumor blood flow and necrosis are commonly observed in cross
sectional imaging of clinical cancers. We hypothesize that radiologically-defined regional …

Background Neuroimaging analysis is currently crucial for an early assessment of
glioblastoma, to help improving treatment and tumor follow-up. To this end, multiple …

Objectives Integrating multiple imaging modalities is crucial for MRI data interpretation. The
purpose of this study is to determine whether a previously proposed multi-view approach …

Brain metastases (BMs) and high-grade gliomas (HGGs) are the most common and
aggressive types of malignant brain tumors in adults, with often poor prognosis and short …