Anne‐Katrin Giese

This paper develops a radiomic signature from T2-FLAIR MRI images to predict white matter hyperintensities burden and links it to clinical phenotypes.

This study identifies sex-specific lesion patterns in acute ischemic stroke that correlate with stroke severity, highlighting differences in lesion distribution between men and women.

The paper shows that brain connectivity measures, specifically rich club organization and path-length, improve prediction of functional outcomes after acute ischemic stroke.

This study shows that the number of rich-club brain regions affected by stroke predicts worse functional outcomes better than traditional markers like lesion volume and age.

The paper investigates spatial variation in white matter hyperintensity burden across vascular territories in stroke patients and identifies risk factors associated with specific territories.

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.

This paper introduces effective reserve (eR), a latent variable derived from clinical and imaging data, to improve prediction of functional outcomes after acute ischemic stroke.