6 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis
Yifei Tang, Hongjie Jiang, Changhong Jing +2
Functional brain network analysis has become an indispensable tool for brain disease analysis. It is profoundly impacted by deep learning methods, which can characterize complex co…
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…
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…