The study of biological systems in a holistic manner (systems biology) is increasingly being
viewed as a necessity to provide qualitative and quantitative descriptions of the emergent …

Localized proton magnetic resonance spectroscopy (MRS) of the human brain, first reported
more than 20 years ago, 1–3 is a mature methodology that is used clinically in many medical …

The objective of this study is to investigate the use of pattern classification methods for
distinguishing different types of brain tumors, such as primary gliomas from metastases, and …

Purpose Gliomas are the most common primary tumor of the brain and are classified into
grades I‐IV of the World Health Organization (WHO), based on their invasively histological …

BACKGROUND AND PURPOSE: Sensitivity, positive predictive value (PPV), and negative
predictive value (NPV) of conventional MR imaging in predicting glioma grade are not high …

In recent years, Convolutional Neural Networks (ConvNets) have rapidly emerged as a
widespread machine learning technique in a number of applications especially in the area …

Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can
noninvasively detect endogenous signals from the neurotransmitter γ-aminobutyric acid …

In the post-genomic era, several profiling tools have been developed to provide a more
comprehensive picture of tumour development and progression. The global analysis of …

Within the framework of systems biology, functional analyses at all 'omic levels have seen an
intense level of activity during the first decade of the twenty-first century. These include …

Accurate diagnosis is essential for optimum management and treatment of patients with
brain tumours. Proton magnetic resonance spectroscopy (1H MRS) provides information …