Article

Assessing the robustness of deep learning based brain age prediction models across multiple EEG datasets

2025-05-21

Abstract excerpt

The increasing availability of large electroencephalography (EEG) datasets enhances the potential clinical utility of deep learning (DL) for cognitive and pathological decoding. However, dataset shifts due to variations in the population and acquisition hardware can considerably degrade the model performance. We systematically investigated the generalisation of DL models to unseen datasets with different character...

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Literature Corpus work: c24ee1e8-3bac-521c-8d62-b99e1f9a0e0f
DOI: 10.1101/2025.05.20.655022

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