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Found 3 papers, 3 papers with code
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology
The current clinical EEG review process relies heavily on expert visual review, which is unscalable and error-prone.
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
The recent availability of large datasets in bio-medicine has inspired the development of representation learning methods for multiple healthcare applications.
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network
This paper presents a novel graph convolutional neural network (GCNN)-based approach for improving the diagnosis of neurological diseases using scalp-electroencephalograms (EEGs).
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