Two-stage evolutionary quantification of in vivo MRS metabolites

Time-domain methods for quantifying MR spectra

Improved estimation of the temporal decay function of in vivo metabolite signals

Improved line-shape estimation for in vivo MRS

Error-bars in semi-parametric estimation

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

Bias-variance Trade-off in In Vivo Metabolite Quantitation

Optimized quantitative magnetic resonance spectroscopy for clinical routine

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

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

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

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

In vivo MRS metabolite quantification using genetic optimization

Creating the semipar custom plug-in for the jMRUI platform

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

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

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

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

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

On Quantifyiing MRS Metabolites Using a Constrained Genetic Algorithm