Xuegang Song
Orcid: 0000-0001-9306-7287
According to our database1,
Xuegang Song
authored at least 18 papers
between 2017 and 2024.
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Bibliography
2024
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
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
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
IEEE Trans. Ind. Informatics, 2021
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal., 2021
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
IEEE Access, 2019
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
Sensors, 2017