Xuegang Song

According to our database, Xuegang Song authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.

Baiying Lei, Yun Zhu, Enmin Liang, Peng Yang, Shaobin Chen, Huoyou Hu, Haoran Xie, Ziyi Wei, Fei Hao, Xuegang Song, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang, Hongbin Han

IEEE Trans. Medical Imaging, December, 2023

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.

Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei

IEEE Trans. Medical Imaging, February, 2023

Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.

Baiying Lei, Yun Zhu, Shuangzhi Yu, Huoyou Hu, Yanwu Xu, Guanghui Yue, Tianfu Wang, Cheng Zhao, Shaobin Chen, Peng Yang, Xuegang Song, Xiaohua Xiao, Shuqiang Wang

Pattern Recognit., 2023

COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism.

Yunlong Sun, Yiyao Liu, Junlong Qu, Xiang Dong, Xuegang Song, Baiying Lei

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network.

Pingkang Li, Haijun Lei, Xuegang Song, Jia Zhao, Jialan Tang, Yukang Lei, Baiying Lei

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images.

Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2021

Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis.

Xuegang Song, Haimei Li, Wenwen Gao, Yue Chen, Tianfu Wang, Guolin Ma, Baiying Lei

IEEE Trans. Ind. Informatics, 2021

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.

Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei

Medical Image Anal., 2021

Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction.

Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei

Proceedings of the Multimodal Learning for Clinical Decision Support, 2021

Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification.

Yali Qiu, Shuangzhi Yu, Yanhong Zhou, Dongdong Liu, Xuegang Song, Tianfu Wang, Baiying Lei

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Classification of Mild Cognitive Impairment Based on a Combined High-Order Network and Graph Convolutional Network.

Xuegang Song, Ahmed Elazab, Yuexin Zhang

IEEE Access, 2020

Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease.

Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Load Prediction of Space Deployable Structure Based on FBG and LSTM.

Yuexin Zhang, Xuegang Song

IEEE Access, 2019

Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection.

Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning.

Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

2017

Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors.

Xuegang Song, Yuexin Zhang, Dakai Liang

Sensors, 2017