50 citations · 52 across the 4 of their papers we have counts for
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Graph Neural Network-based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
Graph neural networks (GNN) are increasingly used to classify EEG for tasks such as emotion recognition, motor imagery and neurological diseases and disorders. A wide range of meth…
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data
Dominik Klepl, Fei He, Min Wu +2
Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, s…
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease
Dominik Klepl, Fei He, Min Wu +2
Alzheimer's disease (AD) is a neurodegenerative disease known to affect brain functional connectivity (FC). Linear FC measures have been applied to study the differences in AD by s…
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis
Dominik Klepl, Fei He, Min Wu +3
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, with around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing and char…