Xiaohua Xiao
According to our database1,
Xiaohua Xiao
authored at least 23 papers
between 2018 and 2024.
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Bibliography
2024
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, September, 2024
Recent Progress on Microfluidics Integrated with Fiber-Optic Sensors for On-Site Detection.
Sensors, April, 2024
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection.
Pattern Recognit., 2024
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network.
Medical Image Anal., 2024
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.
Neural Comput. Appl., August, 2023
Expert Syst. Appl., April, 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
2022
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.
Medical Image Anal., 2022
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM.
Knowl. Based Syst., 2022
Expert Syst. Appl., 2022
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.
Comput. Biol. Medicine, 2022
2021
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal., 2021
2020
Pattern Recognit., 2020
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2019
IEEE Access, 2019
2018
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018