Zhenghua Guan

According to our database, Zhenghua Guan authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Multimodal adaptive subspace learning for Parkinson's disease diagnosis and prediction.

Jiaqiang Li, Yukang Lei, Zhenghua Guan, Peng Yang, Haojie Song, Jing Tian, Guojun Yao, Chunhua Liang, Tianfu Wang, Xiaohua Xiao, Haijun Lei, Baiying Lei

Appl. Soft Comput., 2026

CGDA: Clip-Guided Cross-Modal Dual-Alignment Framework for Early Alzheimer's Diagnosis.

Gai Li, Ronglin Zhang, Jiaqiang Li, Zhenghua Guan, Yujiao Zhang, Peng Yang, Baiying Lei

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

BGPCNet: Frequency Consistency and Boundary Guided Patch Contrast for Semi-supervised Segmentation of Superficial Lymphatic Disease.

Yuankun Wang, Zhenghua Guan, Cheng Zhao, Yingxin Liu, Baiying Lei, Tianfu Wang, Luyao Zhou

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Anatomy-Guided Multimodal Graph Networks for Alzheimer's Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures.

Wenzheng Hu, Zhenghua Guan, Peng Yang, Jiaqiang Li, Yi Liu, Shushen Gan, Tuo Cai, Ao Zhang, Tengda Zhang, Junlong Qu, Shaolong Wang, Gege Cai, Xiang Dong, Tianfu Wang, Baiying Lei

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-Modal Fusion Network Integrating Imaging and Clinical Tabular Data for Alzheimer's Disease Classification.

Wenzheng Hu, Zhenghua Guan, Nina Cheng, Ao Zhang, Yi Liu, Tianfu Wang, Baiying Lei

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Age Knowledge Guided CNN-Transformer Network for Alzheimer's Disease Diagnosis.

Teng Cheng, Zhenghua Guan, Junlong Qu, Jiaqiang Li, Baiying Lei, Xuegang Song

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

3D Multi-Modal Feature Interaction Fusion Network for Early Alzheimer's Disease Diagnosis.

Gege Cai, Zhenghua Guan, Xiangwen Cai, Nina Cheng, Wenzheng Hu, Tengda Zhang, Yi Liu, Baiying Lei

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

DARNet: A Dual Attention Residual Network for Medical Image Classification.

Ao Zhang, Zhenghua Guan, Tengda Zhang, Wenzheng Hu, Yi Liu, Baiying Lei

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.

Zhenghua Guan, Xuegang Song, Peng Yang, Jiaqiang Li, Bao Yang, Xiaohua Xiao, Chuanming Liu, Tianfu Wang, Baiying Lei

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.

Jiaqiang Li, Peng Yang, Junlong Qu, Bao Yang, Zhenghua Guan, Xuegang Song, Xiaohua Xiao, Tianfu Wang, Baiying Lei

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Intelligent Diagnosis Platform for Alzheimer's Disease Based on Multi-modal Knowledge Graph.

Jiaqiang Li, Peng Yang, Jiuwen Cao, Zhenghua Guan, Junlong Qu, Lei Dong, Xueqin Yan, Cuimei Wei, Chunhua Liang, Xiaohua Xiao, Tianfu Wang, Baiying Lei

Proceedings of the Brain Informatics - 17th International Conference, 2024

Spatiotemporal Feature Extraction and Fusion for Longitudinal Alzheimer's Disease Diagnosis.

Zhenghua Guan, Peng Yang, Haijun Lei, Bao Yang, Xuegang Song, Lei Dong, Xueqin Yan, Cuimei Wei, Chunhua Liang, Xiaohua Xiao, Tianfu Wang, Baiying Lei

Proceedings of the Brain Informatics - 17th International Conference, 2024