Dimitrios Alexopoulos

The paper uses resting-state fMRI to study subcortical network organization in neonates, children, and adults, finding that the anterior-posterior organization is present at birth but somatomotor network representations are larger in neonates.

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

This paper estimates local cortical growth patterns in preterm infants using aMSM, revealing regional and temporal differences in expansion linked to folding and injury detection.