Author

Fabian Bongratz

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Open access Jul 2026

Deep learning‐based cortical thickness maps for diagnosis of neurodegenerative diseases: a rater study

Abstract INTRODUCTION Cortical atrophy patterns on magnetic resonance imaging (MRI) are essential for diagnosing neurodegenerative diseases (NDs), but remain challenging to assess visually. Deep learning enables quantitative evaluation of cortical thickness (CTh) and z‐score maps. METHODS 3T three‐dimensional T1 MRI fr...

E. Riedel, Fabian Bongratz, B. Zott et al. · Alzheimer's & Dementia · 0 citations

Open access Aug 2026

Longitudinal Clustering Identifies Different Rates of Cortical Aging in Healthy Older Adults.

Global trajectories of brain aging are well-characterized thanks to many large MRI datasets in the general population. However, regional patterns that may reflect individual differences in brain aging remain less well understood. In this study, we aim to identify differences in brain aging in a longitudinal study of he...

B. Schmitz-Koep, Fabian Bongratz, Vivian Schultz et al. · Aging and Disease · 0 citations

#artificial intelligence Preprint Sep 2026

Bridging Modalities on the Cortex: Surface-based MRI to PET Translation with a Diffusion Bridge

Cortical hypometabolism measured by Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is a highly sensitive biomarker for dementia diagnosis. However, high costs, radiation exposure, and limited accessibility constrain its clinical utility. While cross-modal synthesis from Magnetic Resonance Imaging (MRI) offer...

Yi-Tong Li, A. Samoylova, Fabian Bongratz et al. · 0 citations