A major attack can significantly reduce the capability to deliver services in large-scale
networked information systems. In this project, we have addressed the survivability of large …

AIMS: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H
MRS) as a non-invasive diagnostic aid for paediatric brain tumours in a multi-national study …

Background There are different opinions of the clinical value of MRS of the brain. In selected
materials MRS has demonstrated good results for characterisation of both neoplastic and …

Medical diagnosis can often be understood as a classification problem. In oncology, this
typically involves differentiating between tumour types and grades, or some type of discrete …

Object This study demonstrates that 3T SV-MRS data can be used with the currently
available automatic brain tumour diagnostic classifiers which were trained on databases of …

Intracranial diseases are common in dogs and improved noninvasive diagnostic tests are
needed. Magnetic resonance (MR) spectroscopy is a technique used in conjunction with …

New biomedical technologies enable the diagnosis of brain tumours by using non-invasive
methods. HealthAgents is a European Union-funded research project that aims to build an …

The combination of an Artificial Neural Network classifier, a feature selection process, and a
novel linear dimensionality reduction technique that provides a data projection for …

OBJECTIVE: To investigate if proton nuclear magnetic resonance (1H NMR) spectroscopy−
based metabolic profiling was able to differentiate follicular lymphoma (FL) from diffuse large …

The current challenge in automatic brain tumor classification based on MRS is the
improvement of the robustness of the classification models that explicitly account for the …