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