1. Yuan Li, Chenxi Huang, Bowen Zheng, Zhiyuan Zheng, Hongying Tang, Shenghong Ju, Jun Xu, Yuemei Luo, “Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach,” Knowledge-Based Systems, vol.310, p.112924, 2025.[Link to paper]
2. Xiangxue Wang, Jingkai Zhang, Yuemei Xu, Yang Huang, Wenlong Ming, Yiping Jiao, Bicheng Liu, Xiangshan Fan, Jun Xu, “Glo-Net: A Dual Task Branch Based Neural Network for Multi-Class Glomeruli Segmentation and Classification,” Computers in Biology and Medicine, vol. 186,109670, 2025. [Link to paper]
3. Haoyu Cui, Qinhao Guo, Jun Xu, Xiaohua Wu, Chengfei Cai, Yiping Jiao, Wenlong Ming, Hao Wen, Xiangxue Wang, “Prediction of molecular subtypes for endometrial cancer based on hierarchical foundation model,” Bioinformatics, btaf059, 2025. [Link to paper]
4. Xiangxue Wang, Cheng Lu, and Jun Xu, “Unlocking Deeper Insights into Medical Images with Machine Learning, Bioengineering, 2025, 12(5), 451. [Link to paper]
5. Jin Qian, Lei Tao, Changhao Gong, Jun Xu, and Yuemei Luo, “Classifying Retinal Diseases via a Novel Pyramid Vision Graph Convolutional Network for Optical Coherence Tomography Images,” Biomedical Optics Express,16(6), pp. 2312-2326 (2025).[Link to paper]
6. Yuemei Luo, Chenao Yuan, Lizhi Cheng, Min Wu, and Wenmian Yang, “Combining Values, Trends, and Types of Sensors for Multivariate Time Series Classification and Regression,” IEEE Sensors Journal, 25(9), 15419-15430 (2025).[Link to paper]
7. Chengfei Cai, Ruidong Chen, Jieyu Chen, Jun Li, Caiyun Lv, Yiping Jiao, Lanqing Wu, Juan Chen, Qi Sun, Qianyun Shi, Jun Xu, Wen Tang, Yao Liu, Predicting Ustekinumab Treatment Response in Crohn’s Disease Using Pre-Treatment Biopsy Images, Bioinformatics, btaf301,2025. [Link to paper]
8. Feng Ding, Chengfei Cai, Jun Li, Mingxin Liu, Yiping Jiao, Zhengcan Wu, and Jun Xu, “Classification of Whole-Slide Pathology Images Based on State Space Models and Graph Neural Networks”, Electronics, 14, no. 10: 2056, 2025.[Link to paper]
9. Mingxin Liu, Chengfei Cai, Jun Li, Pengbo Xu, Jinze Li, Jiquan Ma, and Jun Xu, MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction, MICCAI 2025: the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, September 23-27, 2025.[Link to paper]
10. Chengfei Cai, Qianyun Shi, Mingxin Liu, Jun Li, Yangshu Zhou, Andi Xu, Dan Zhang, Yiping Jiao, Yao Liu, Xiaobin Cui, Jun Chen, Jun Xu, Qi Sun, IBDAIM:Artificial Intelligence for Analyzing Intestinal Biopsies Pathological Images for Assisted Integrated Diagnostic of Inflammatory Bowel Disease, International Journal of Medical Informatics, vol. 203, 2025, 106024.[Link to paper]
11. Hui Liu, Wenbiao Liu, Yanfeng Wu, Zhe Du, Tingting Xue, Afshin Mohammadi Manesh, Jun Xu, Tao Jian, ANN-Assisted Optimization of a Solar-to-X System for Green Hydrogen Production, CO2 Capture, and Methanol-Based Energy Storage, Energy, 2025.[Link to paper]
