Alexandre Vignaud

Is good old GRAPPA dead?

We perform a qualitative analysis of performance of XPDNet, a state-of-the-art deep learning approach for MRI reconstruction, compared to GRAPPA, a classical approach. We do this in multiple...

Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle

Denoising of fMRI Volumes Using Local Low Rank Methods

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI

Intra-subject multi-slab registration: Application to hippocampal ultra-high resolution imaging at 7T

Plug-and-Play Reconstruction for 3D Non-Cartesian fMRI Data

Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla

Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI

Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla