6 citations · 11 across the 7 of their papers we have counts for
7 papers
Connectivity Estimation using Stochastic Graph Heat Modelling
Stephan Goerttler, Min Wu, Fei He
A growing number of techniques leverage the spatial structures that underlie many real-world datasets. Despite these advances, the complementary task of estimating spatial structur…
Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification
Stephan Goerttler, Yucheng Wang, Fei He +1
Despite significant advances in deep learning-based sleep stage classification, the clinical adoption of automatic classification models remains slow. One key challenge is the lack…
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele +2
Recent advancements in machine learning-based signal analysis, coupled with open data initiatives, have fuelled efforts in automatic sleep stage classification. Despite the prolife…
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
Haili Ye, Stephan Goerttler, Fei He
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understandin…
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
Stephan Goerttler, Fei He, Min Wu
The prospect of future treatment warrants the development of cost-effective screening for Alzheimer's disease (AD). A promising candidate in this regard is electroencephalography (…
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu
Heat diffusion describes the process by which heat flows from areas with higher temperatures to ones with lower temperatures. This concept was previously adapted to graph structure…
Understanding Concepts in Graph Signal Processing for Neurophysiological Signal Analysis
Stephan Goerttler, Fei He, Min Wu
Multivariate signals, which are measured simultaneously over time and acquired by sensor networks, are becoming increasingly common. The emerging field of graph signal processing (…