Xiangmin Han

According to our database, Xiangmin Han authored at least 18 papers between 2017 and 2026.

Collaborative distances:

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

2026

Hypergraph-based semantic and topological self-supervised learning for brain disease diagnosis.

Xiangmin Han, Mengqi Lei, Junchang Li

Pattern Recognit., 2026

2025

Inter-Intra Hypergraph Computation for Survival Prediction on Whole Slide Images.

Xiangmin Han, Huijian Zhou, Zhiqiang Tian, Shaoyi Du, Yue Gao

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Hypergraph Foundation Model.

Yifan Feng, Shiquan Liu, Xiangmin Han, Shaoyi Du, Zongze Wu, Han Hu, Yue Gao

CoRR, March, 2025

HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC.

Xiangmin Han, Wuchao Li, Yan Zhang, Pinhao Li, Jianguo Zhu, Tijiang Zhang, Rongpin Wang, Yue Gao

Medical Image Anal., 2025

Cross-Template-Based Hypergraph Transformer.

Jingxi Feng, Xiangmin Han, Heming Xu, Juan Wang, Jue Jiang, Shaoyi Du, Yue Gao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.

Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi

IEEE Trans. Medical Imaging, March, 2024

ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs.

Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs.

Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.

Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi

Neural Networks, July, 2023

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis.

Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen

Pattern Recognit., 2023

2022

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.

Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine.

Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi

IEEE J. Biomed. Health Informatics, 2022

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.

Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi

IEEE J. Biomed. Health Informatics, 2022

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.

Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying

CoRR, 2022

2021

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.

Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi

Pattern Recognit., 2021

2020

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.

Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

Real-time self-driving car navigation and obstacle avoidance using mobile 3D laser scanner and GNSS.

Jing Li, Hong Bao, Xiangmin Han, Feng Pan, Weiguo Pan, Feifei Zhang, Di Wang

Multim. Tools Appl., 2017

A Predictive Control Algorithm Based on Driving Behavior Data Model.

Xiangmin Han, Hong Bao, Zuxing Xuan, Feng Pan

Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017