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
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
A narrative synthesis of the human-AI interaction and radiology AI literature highlighted three underrecognized determinants of successful human-AI collaboration in radiology, and concrete research directions are proposed to bridge the gap between algorithmic capabilities and clinical utility.
Su Hwan Kim, L. Adams, B. Wiestler et al.· Radiology: Artificial Intell...· 0 citations
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