1 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.NC2024★ 1 cited
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…
cs.CV2023★ 1 cited
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model
Yongcheng Zong, Shuqiang Wang
Brain network analysis has emerged as pivotal method for gaining a deeper understanding of brain functions and disease mechanisms. Despite the existence of various network construc…
eess.IV2022★ 1 cited
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction
Yongcheng Zong, Changhong Jing, Qiankun Zuo
The application of machine learning algorithms to the diagnosis and analysis of Alzheimer's disease (AD) from multimodal neuroimaging data is a current research hotspot. It remains…