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Open access Jul 2026

Unsupervised Machine Learning of Automated Brain Volumetry Uncovers Three Volumetric Endophenotypes in Cognitive Impair-ment

The findings suggest that cognitive impairment manifests through heterogeneous patterns of structural brain involvement, with potential implications for prognosis and personalized care, and the high accuracy of a parsimonious four-feature model supports the clinical utility of focused volumetric assessment for risk str...

Albert Vamanu, L. Borza, Livia Livinț-Popa et al. · 0 citations

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