6 citations · 7 across the 4 of their papers we have counts for
4 papers
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment
Heng Kong, Shuqiang Wang
Mild cognitive impairment(MCI) is a precursor of Alzheimer's disease(AD), and the detection of MCI is of great clinical significance. Analyzing the structural brain networks of pat…
Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease
Junren Pan, Shuqiang Wang
Cross-modal fusion of different types of neuroimaging data has shown great promise for predicting the progression of Alzheimer's Disease(AD). However, most existing methods applied…
Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification
Changwei Gong, Changhong Jing, Junren Pan +1
Functional alterations in the relevant neural circuits occur from drug addiction over a certain period. And these significant alterations are also revealed by analyzing fMRI. Howev…
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis
Junren Pan, Baiying Lei, Yanyan Shen +3
Using multimodal neuroimaging data to characterize brain network is currently an advanced technique for Alzheimer's disease(AD) Analysis. Over recent years the neuroimaging communi…