Article

Bayesian Optimisation for Neuroimaging Pre-processing in Brain Age Prediction

2017-10-10

Abstract excerpt

Neuroimaging-based age predictions using machine learning have been shown to relate to cognitive performance, health outcomes and progression of neurodegenerative disease. However, even leading age-prediction algorithms contain measurement error, motivating efforts to improve experimental pipelines. T1-weighted MRI is commonly used for age prediction, and the pre-processing of these scans involves normalisation to...

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Literature Corpus work: ccb32720-c2dd-5661-99df-d641ccf0fd8b
DOI: 10.1101/201061

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