Two-stage evolutionary quantification of in vivo MRS metabolites

In vivo MRS metabolite quantification using genetic optimization

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

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

On Quantifyiing MRS Metabolites Using a Constrained Genetic Algorithm

Improved MRI mining by integrating support vector machine priors in the Bayesian restoration

Improved Bayesian MRI Reconstruction Involving Neural Priors Based on a Regularization Approach

Improved MR image reconstruction from sparsely sampled scans based on neural networks.

Bayesian MRI Reconstruction in Sparsely Sampled $k$-Spaces With Priors based on Self Organizing Maps.

Improved MRI Reconstruction from Reduced Scans in K-Space by Integrating Neural Priors in the Bayesian Restoration.

Neural Network Reconstruction of MR Images from Noisy and Sparse k-space Samples.

MR image reconstruction from sparsely sampled scans based on Multilayer Perceptions and using regularization techniques.

Bayesian image estimation from sparse raw MRI data

Bayesian image estimation from sparce raw MRI data