Rui Pedro A. G. Teixeira

This study identifies depth-dependent cortical microstructure alterations in children with focal epilepsy using quantitative MRI, suggesting potential pre-symptomatic changes detectable regardless of radiological abnormalities.

This study examines how preterm birth affects cortical development in infants at term-equivalent age using MRI, finding altered microstructure and morphology with individual variability.

The paper develops normative brain volumetric development curves for term-born infants and compares preterm infants to these curves, identifying individual deviations linked to clinical factors and neurocognitive outcomes.

This paper develops a machine learning framework to identify sparse grey matter biomarkers in Schizophrenia and their biological substrates using structural MRI data.

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.

A linearly scaling groupwise method jointly estimates mean brain shape and longitudinal change across 275 neonates (35 to 44 weeks post-menstrual age), yielding a temporally consistent morphological atlas.