Xiaohua Xiao

According to our database1, Xiaohua Xiao authored at least 23 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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

OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning.
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

Predicting clinical scores for Alzheimer's disease based on joint and deep learning.
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
Deep and joint learning of longitudinal data for Alzheimer's disease prediction.
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

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM.
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


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