1 citations · 1 across the 3 of their papers we have counts for
5 papers
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
Yi Guo, Yihang Dong, Michael Kwok-Po Ng +1
Brain-computer interfaces (BCIs) with speech decoding from brain recordings have broad application potential in fields such as clinical rehabilitation and cognitive neuroscience. H…
ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging
Xuhang Chen, Michael Kwok-Po Ng, Kim-Fung Tsang +2
Brain network analysis plays a crucial role in diagnosing and monitoring neurodegenerative disorders such as Alzheimer's disease (AD). Existing approaches for constructing structur…
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…
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Yihang Dong, Xuhang Chen, Yanyan Shen +3
Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective comp…
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…