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Found 3 papers, 1 papers with code
A streamable large-scale clinical EEG dataset for Deep Learning
Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research.
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
Interestingly we show that the neural network tailored to process EEG spectral features has increased performance when applied to raw data classification.
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
These R-fMRI pipelines build participant-specific connectomes from functionally-defined brain areas.
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