Hugo J. Kuijf

This study uses Bayesian modeling to analyze stroke patient data and identifies distinct brain regions associated with language and executive control impairments.

This study identifies brain infarct locations and white matter disconnections associated with post-stroke depressive symptoms using lesion-symptom mapping and disconnectome analyses.

The paper uses machine learning and Bayesian modeling to analyze lesion patterns in stroke patients, showing how left and right hemisphere damage relates to specific cognitive impairments.

ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.