Olivier Potvin

This paper evaluates automated methods for hippocampal segmentation and HVR calculation, finding that a CNN-based method outperforms others in accuracy and reliability.

The paper shows that white matter hyperintensities (WMHs) cause systematic errors in grey matter (GM) volume estimates, affecting clinical associations like age and Alzheimer's disease.

NOMIS quantifies morphometric deviations from normality in adult human brains using MRI data, providing Z-scores adjusted for age, sex, and image quality across 6,909 individuals.

This paper assesses the long-term consistency of resting-state fMRI connectivity maps across multiple sites and vendors over 2.5 years, finding good stability but significant site and vendor effects.

This study compares hippocampal volume and SNIPE score to predict dementia onset in cognitively normal individuals, finding SNIPE score has a larger effect size in distinguishing progressors.