Xiaohua Xiao

According to our database, Xiaohua Xiao authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recent Progress on Microfluidics Integrated with Fiber-Optic Sensors for On-Site Detection.

Weibin Wang, Ling Xia, Xiaohua Xiao, Gongke Li

Sensors, April, 2024

2023

Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.

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

IEEE Trans. Medical Imaging, December, 2023

Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.

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

Neural Comput. Appl., August, 2023

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

Peng Yang, Zheng Wei, Qiong Yang, Xiaohua Xiao, Tianfu Wang, Baiying Lei, Ziwen Peng

Expert Syst. Appl., April, 2023

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.

Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei

IEEE Trans. Medical Imaging, February, 2023

Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.

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

Pattern Recognit., 2023

2022

Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.

Peng Yang, Cheng Zhao, Qiong Yang, Zheng Wei, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng

Medical Image Anal., 2022

Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM.

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

Knowl. Based Syst., 2022

Predicting clinical scores for Alzheimer's disease based on joint and deep learning.

Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang

Expert Syst. Appl., 2022

Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.

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

Comput. Biol. Medicine, 2022

2021

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.

Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei

Medical Image Anal., 2021

2020

Deep and joint learning of longitudinal data for Alzheimer's disease prediction.

Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang

Pattern Recognit., 2020

Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.

Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei

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.

Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei

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.

Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction.

Zhongwei Huang, Haijun Lei, Shiqi Li, Xiaohua Xiao, Ee-Leng Tan, Baiying Lei

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.

Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang

IEEE J. Biomed. Health Informatics, 2019

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

Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei

IEEE Access, 2019

2018

3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.

Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018