21 citations · 23 across the 4 of their papers we have counts for
4 papers
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
Weiheng Yao, Zhihan Lyu, Mufti Mahmud +3
Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function and pathology, as it allows for the integration of different imaging techniques, th…
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning
Yongcheng Zong, Shuqiang Wang
Brain network analysis plays an increasingly important role in studying brain function and the exploring of disease mechanisms. However, existing brain network construction tools h…
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment
Qiankun Zuo, Ling Chen, Yanyan Shen +3
Effective connectivity estimation plays a crucial role in understanding the interactions and information flow between different brain regions. However, the functional time series u…
Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network
Qiankun Zuo, Junren Pan, Shuqiang Wang
Fusing structural-functional images of the brain has shown great potential to analyze the deterioration of Alzheimer's disease (AD). However, it is a big challenge to effectively f…