Xiaohua Xiao

32 papers B 1Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer's disease.
Medical Image Anal.
Xuegang Song, Kaixiang Shu, Peng Yang, Cheng Zhao, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Shuqiang Wang, Tianfu Wang, Baiying Lei
2026 J jnl
Early Alzheimer's disease classification via structure and feature-based graph attention network from multi-center data.
Neural Networks
Nina Cheng, Gai Li, Yu Liang, Yali Qiu, Xuegang Song, Huoyou Hu, Ee-Leng Tan, Tianfu Wang, Shuqiang Wang, Xiaohua Xiao, Shijie Zhao, Baiying Lei
2026 J jnl
Multimodal adaptive subspace learning for Parkinson's disease diagnosis and prediction.
Appl. Soft Comput.
Jiaqiang Li, Yukang Lei, Zhenghua Guan, Peng Yang, Haojie Song, Jing Tian, Guojun Yao, Chunhua Liang, Tianfu Wang, Xiaohua Xiao, Haijun Lei, Baiying Lei
2025 J jnl
Knowledge-Aware Multisite Adaptive Graph Transformer for Brain Disorder Diagnosis.
IEEE Trans. Medical Imaging
Xuegang Song, Kaixiang Shu, Peng Yang, Cheng Zhao, Feng Zhou, Alejandro F. Frangi, Xiaohua Xiao, Lei Dong, Tianfu Wang, Shuqiang Wang, Baiying Lei
2025 J jnl
Locally similar multi-hop fusion GNNs with data augmentation for early Alzheimer's detection.
Expert Syst. Appl.
Gai Li, Yuwen Zhang, Xuegang Song, Peng Yang, Lei Dong, Yaohui Huang, Xiaohua Xiao, Tianfu Wang, Shuqiang Wang, Baiying Lei
2024 J jnl
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Zifeng Qiu, Peng Yang, Chunlun Xiao, Shuqiang Wang, Xiaohua Xiao, Jing Qin, Chuan-Ming Liu, Tianfu Wang, Baiying Lei
2024 J jnl
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network.
Medical Image Anal.
Baiying Lei, Yafeng Li, Wanyi Fu, Peng Yang, Shaobin Chen, Tianfu Wang, Xiaohua Xiao, Tianye Niu, Yu Fu, Shuqiang Wang, Hongbin Han, Jing Qin
2024 — conf
Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.
EMBC
Jiaqiang Li, Peng Yang, Junlong Qu, Bao Yang, Zhenghua Guan, Xuegang Song, Xiaohua Xiao, Tianfu Wang, Baiying Lei
2024 — conf
Federated Multi-source Domain Adaptation via Vision Transformer for Multi-site Alzheimer's Diagnosis.
BI (2)
Tuo Cai, Baiying Lei, Xueqin Yan, Cuimei Wei, Chunhua Liang, Xiaohua Xiao, Yunzhu Yang, Tianfu Wang, Peng Yang
2024 J jnl
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection.
Pattern Recognit.
Baiying Lei, Yu Liang, Jiayi Xie, You Wu, Enmin Liang, Yong Liu, Peng Yang, Tianfu Wang, Chuan-Ming Liu, Jichen Du, Xiaohua Xiao, Shuqiang Wang
2024 — conf
Intelligent Diagnosis Platform for Alzheimer's Disease Based on Multi-modal Knowledge Graph.
BI (2)
Jiaqiang Li, Peng Yang, Jiuwen Cao, Zhenghua Guan, Junlong Qu, Lei Dong, Xueqin Yan, Cuimei Wei, Chunhua Liang, Xiaohua Xiao, Tianfu Wang, Baiying Lei
2024 — conf
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
ISBI
Zhenghua Guan, Xuegang Song, Peng Yang, Jiaqiang Li, Bao Yang, Xiaohua Xiao, Chuanming Liu, Tianfu Wang, Baiying Lei
2024 J jnl
Recent Progress on Microfluidics Integrated with Fiber-Optic Sensors for On-Site Detection.
Sensors
Weibin Wang, Ling Xia, Xiaohua Xiao, Gongke Li
2024 — conf
Spatiotemporal Feature Extraction and Fusion for Longitudinal Alzheimer's Disease Diagnosis.
BI (2)
Zhenghua Guan, Peng Yang, Haijun Lei, Bao Yang, Xuegang Song, Lei Dong, Xueqin Yan, Cuimei Wei, Chunhua Liang, Xiaohua Xiao, Tianfu Wang, Baiying Lei
2023 J jnl
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.
Neural Comput. Appl.
Haijun Lei, Yukang Lei, Zihao Chen, Shiqi Li, Zhongwei Huang, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Chien-Hung Liu, Baiying Lei
2023 J jnl
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
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
2023 J jnl
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.
Pattern Recognit.
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
2023 J jnl
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.
IEEE Trans. Medical Imaging
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
2023 J jnl
OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning.
Expert Syst. Appl.
Peng Yang, Wei Zheng, Qiong Yang, Xiaohua Xiao, Tianfu Wang, Baiying Lei, Ziwen Peng
2022 J jnl
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.
Medical Image Anal.
Peng Yang, Cheng Zhao, Qiong Yang, Wei Zheng, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng
2022 J jnl
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.
Comput. Biol. Medicine
Haijun Lei, Yuchen Zhang, Hancong Li, Zhongwei Huang, Chien-Hung Liu, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Baiying Lei
2022 J jnl
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM.
Knowl. Based Syst.
Baiying Lei, Yuwen Zhang, Dongdong Liu, Yanwu Xu, Guanghui Yue, Jiuwen Cao, Huoyou Hu, Shuangzhi Yu, Peng Yang, Tianfu Wang, Yali Qiu, Xiaohua Xiao, Shuqiang Wang
2022 J jnl
Predicting clinical scores for Alzheimer's disease based on joint and deep learning.
Expert Syst. Appl.
Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
2021 J jnl
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal.
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
2020 J jnl
Deep and joint learning of longitudinal data for Alzheimer's disease prediction.
Pattern Recognit.
Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
2020 — conf
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease.
MICCAI (7)
Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei
2020 B conf
Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction.
ICPR
Zhongwei Huang, Haijun Lei, Shiqi Li, Xiaohua Xiao, Ee-Leng Tan, Baiying Lei
2020 — conf
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.
MICCAI (7)
Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei
2020 — conf
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis.
PRIME@MICCAI
Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei
2019 J jnl
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM.
IEEE Access
Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei
2019 J jnl
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics
Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang
2018 — conf
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.
PRIME@MICCAI
Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao