Mar 12, 2024 � In this study, we improved the classical source localization methods by using spatial graph filters to solve the inverse problem of ESI. The�...

Mar 12, 2024 � We propose to use the low-frequency basis of spatial graph filters to approximate the extended areas of brain activation and embed the GFT into the classical�...

Mar 20, 2024 � We propose to use the low-frequency basis of spatial graph filters to approximate the extended areas of brain activation and embed the GFT into�...

Sep 13, 2023 � The proposed method can effectively reconstruct focal extent patterns and significantly improve the performance compared to classical algorithms�...

In this work, we exploit the graph structure defined in the 3D mesh of the brain by decomposing the spatial graph signal into low-, medium-, and high-frequency�...

We propose to use the low-frequency basis of spatial graph filters to approximate the extended areas of brain activation and embed the GFT into the classical�...

Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Shihao Yang�...

Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation.

Rejuvenating classical source localization methods with spatial graph filters. In International Conference on Brain Informatics, pp. 286-296. Cham: Springer�...

Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Brain�...