Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains.

[BibT_eX]

[DOI]

Mingxin Jiang

Yuzhong Chen

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).

[BibT_eX]

[DOI]

Neural Networks, January, 2023

2022

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).

[BibT_eX]

[DOI]

Medical Image Anal., 2022

2021

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Attention-Based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks.

[BibT_eX]

[DOI]