Giulia Di Domenicantonio

K-space sampling strategies to reduce noise induced by cardiac pulsatility in brain maps of R2* and magnetic susceptibility

The paper introduces two k-space sampling strategies to reduce cardiac-induced noise in MRI brain maps of R2* and magnetic susceptibility, showing improved variability reduction with one strategy.

A characterization of cardiac-induced noise in R2* maps of the brain

This paper characterizes cardiac-induced noise in brain R2* maps and proposes a sampling strategy to mitigate its effects.

Statistical analyses of motion-corrupted MRI relaxometry data

This paper introduces QUIQI, a method to restore homoscedasticity in MRI relaxometry data by using weighted least squares, improving statistical analysis robustness.

In-vivo estimation of axonal morphology from MRI and EEG data

This paper estimates axonal morphology from MRI and EEG data in humans, finding parameters consistent with histological findings.

Restoring statistical validity in group analyses of motion-corrupted MRI data

The paper introduces a data-driven method to restore statistical validity in MRI group analyses by assigning image weights based on quality indices, improving performance across brain regions despite motion effects.