Stochastic cortical self-reconstruction (SCSR) enables personalized mapping of gray matter atrophy, a hallmark of neurodegenerative disorders such as Alzheimer's disease (AD), onto high-resolution cortical surfaces. Unlike conventional normative modeling approaches, which typically operate at a coarse regional level an...
Fabian Bongratz, Z. Zhuo, Chao Zhang et al.· 0 citations
Deep learning enables quantitative evaluation of cortical thickness (CTh) and z‐score maps, which are essential for diagnosing neurodegenerative diseases (NDs) but remain challenging to assess visually.
E. Riedel, Fabian Bongratz, B. Zott et al.· Alzheimer's & Dementia· 0 citations
This work introduces a novel surface-based diffusion bridge framework DB-SUiT for MRI-to-PET translation that operates natively on the cortical manifold and demonstrates high-fidelity synthesis that substantially outperforms other baselines.
Yi-Tong Li, A. Samoylova, Fabian Bongratz et al.· 0 citations
A Dynamic, Automatic and Systematic red-teaming audit framework that continuously stress-tests LLMs for health across four safety-critical axes: robustness, privacy, bias and hallucination, which provides a scalable framework for surfacing latent risks before such systems are deployed in consumer-facing health assistan...
Jiazhen Pan, Bailiang Jian, Paul Hager et al.· Nature Health· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
