Background SpectraClassifier (SC) is a Java solution for designing and implementing
Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow …

I describe in detail the intimately connected feature extraction and classifier development
stages of the data-driven Statistical Classification Strategy (SCS) and compare them with …

The medical diagnosis of brain tumours is one of the main applications of Magnetic
Resonance. Magnetic Resonance consists of two main branches: Imaging and …

Besides the diagnostic evaluation of a spectrum, the assessment of its quality and a check
for plausibility of its information remains a highly interactive and thus time‐consuming …

This article reviews the wealth of different pattern recognition methods that have been used
for magnetic resonance spectroscopy (MRS) based tumor classification. The methods have …

The increased power and resolution capabilities of 3T Magnetic Resonance (MR) scanners
have extended the reach of Magnetic Resonance Spectroscopy as a non-invasive …

Magnetic resonance spectroscopic imaging (MRSI) involves a huge number of spectra to be
processed and analyzed. Several tools enabling MRSI data processing have been …

Background Magnetic resonance spectroscopy provides metabolic information about living
tissues in a non-invasive way. However, there are only few multi-centre clinical studies …

Motivation: The analysis of high-resolution proton nuclear magnetic resonance (NMR)
spectrometry can assist human experts to implicate metabolites expressed by diseased …

High resolution one-and multi-dimensional NMR spectra measured on biological samples
can be extremely complex. For example, for pure proteins in solution, and for biofluids and …