M. Jorge Cardoso

This study uses MRI data to compare cortical growth patterns in fetal and preterm brains, revealing distinct developmental trajectories and implications for cortical organisation.

The paper applies multivariate mechanistic models to a clinical trial in multiple sclerosis to investigate pathways linking simvastatin to clinical outcomes.

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

This study identifies the sequence of grey matter atrophy progression in multiple sclerosis using longitudinal MRI data and shows its association with disability accumulation in relapsing-remitting MS.

This study shows that deep grey matter volume loss predicts faster disability progression in multiple sclerosis, with specific patterns in different disease subtypes.