Article

Automated quantification of cerebral microbleeds for ARIA-H monitoring in Aging and Alzheimer’s Disease: A multicenter deep learning validation

2026-05-26

Abstract excerpt

We trained a self-configuring nnU-Net model for CMB segmentation in a hetero-geneous multicenter sample ( n =264), including 1.5T and 3T field strengths, SWI and T2*-GRE sequences, and community and clinical cohorts. Model performance was evaluated using 5-fold cross-validation with a focus on object-level detection metrics. Real-world performance was evaluated on scans from an unseen dataset of people with cereb...

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Literature Corpus work: b2dc7468-90e1-590e-b43c-10d167356358
DOI: 10.64898/2026.05.19.26353364

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