Benedetta Franceschiello

The paper introduces improved 3D radial spiral trajectories for MRI that enhance image quality by reducing ringing artifacts and supporting sequential binning.

This study introduces an automated 3D MRI segmentation method for the human eye and orbit, providing large-scale unbiased atlases for clinical research.

Monalisa is an open-source MATLAB toolbox for MRI reconstruction that offers competitive performance and fewer artifacts compared to BART in non-Cartesian imaging.

This paper develops automated 3D segmentation techniques for human eye and orbit structures using MRI and evaluates axial length estimation.

The paper develops a computational model of human primary visual cortex tuned to psychophysical data on geometric optical illusions, showing it can replicate human perceptual biases.

This paper introduces a high-resolution, fast-sampled fMRI technique for whole-brain BOLD signal measurement, demonstrating improved spatial and temporal resolution in human studies.

This paper shows that topological features of EEG data are reference-invariant, while correlation spaces are not, suggesting topological analysis can capture individual brain dynamics.