Francesco Grussu

This study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

This study compares multi-echo combination methods for MRI quantitative susceptibility mapping (QSM) and finds that nonlinear phase fitting before Laplacian-based methods provides the highest accuracy and lowest noise.

This study compares two deep learning strategies for qMRI signal model fitting, finding that strategy 2 is more practical but may yield less accurate parameter estimation.

This paper introduces a unified signal readout approach for multi-parametric spinal cord MRI, combined with MP-PCA denoising, improving the quality and consistency of microstructural metrics.