Xuegang Song

Orcid: 0000-0001-9306-7287

According to our database1, Xuegang Song authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain Age Estimation and Aging-related Brain Regions.
Proceedings of the 6th International Conference on Internet of Things, 2024

2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.
IEEE Trans. Medical Imaging, February, 2023

Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.
Pattern Recognit., 2023

COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network.
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.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2021
Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis.
IEEE Trans. Ind. Informatics, 2021

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal., 2021

Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021

Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification.
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.
IEEE Access, 2020

Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease.
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.
IEEE Access, 2019

Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection.
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.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

2017
Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors.
Sensors, 2017


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