Improved line-shape estimation for in vivo MRS

Two-stage evolutionary quantification of in vivo MRS metabolites

Time-domain methods for quantifying MR spectra

Error-bars in semi-parametric estimation

Accomodation of micro-susceptibility effects on the MRS lineshape at B0>10T

Optimized quantitative magnetic resonance spectroscopy for clinical routine

Bias-variance Trade-off in In Vivo Metabolite Quantitation

A quantum mechanics-based approach for optimization of metabolite basis-sets. Application to quantitation of HRMAS-NMR signals

Semi-parametic estimation without searching in function space: Application to in vivo metabolite quantitation

In vivo MRS metabolite quantification using genetic optimization

Creating the GammaPress custom plug-in for the JMRUI platform. Simultating metabolite basis sets for in vivo Magnetic Resonance Spectroscopy

New Approach to Semi-Parametric Estimation for In Vivo Magnetic Resonance Imaging

Optimization of metabolite basis sets prior to quantitation in magnetic resonance spectroscopy: An approach based on quantum mechanics

Creating the semipar custom plug-in for the jMRUI platform

On Quantifyiing MRS Metabolites Using a Constrained Genetic Algorithm

Simple correction of chemical shift changes in magnetic resonance spectroscopy quantitation

Accelerating batched iD-FFT with a CUDA-capable computer, Calling CUDA library functions from a JAVA environment

A constrained genetic algorithm with adaptively defined fitness function in MRS quantification

Handling Arbitrary Unknown Lineshape in In Vivo MRS Without Searching in Function Space

DFT calculations of iH NMR chemical shifts, simulated and experimental spectra of sarcosine