Article

Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching

2024-01-02

Abstract excerpt

Individualized phenotypic prediction based on structural MRI is an important goal in neuroscience. Prediction performance increases with larger samples, but small-scale datasets with fewer than 200 participants are often unavoidable. We have previously proposed a “meta-matching” framework to translate models trained from large datasets to improve the prediction of new unseen phenotypes in small collection efforts....

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Identifiers and source

Literature Corpus work: 8969f0bb-7012-5f05-a479-03267c73bc2d
DOI: 10.1101/2023.12.31.573801

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