Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data.

[BibT_eX]

[DOI]

Xia-An Bi

Yu Wang

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

Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

2023

Explainable and programmable hypergraph convolutional network for imaging genetics data fusion.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

2022

Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

2021

Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm.

[BibT_eX]