期刊論文 Journal：

1. Xu, J.-L. (2025). Factors Influencing Stroke Severity Based on Collateral Circulation, Clinical Markers and Machine Learning. Diagnostics, 15(23), 2983. https://doi.org/10.3390/diagnostics15232983

2. Su, P. Y., Shih, H. J., & Xu, J. L. (2025). Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32× 4d Model in Magnetic Resonance Elastography: Retrospective Study. JMIR Medical Informatics, 13, e80351.

3. Chen, M. J., Hsu, Y. L., & Xu, J. L. (2025). Two-stage AI model for endometrial cancer staging: YOLOv4 localization and deep learning classification. Innovation and Emerging Technologies, 12.

4.  Lin, P. C., Li, T. C., Huang, T. H., Hsu, Y. L., Ho, W. C., Hsieh, C. L., & Xu, J. L. (2025). Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI. Frontiers in Public Health, 13, 1613946.

5.  Hsu, P. Y., Xu, J. L., Chen, L. L., & Chen, M. Y. (2025). Using deep learning to construct microcalcification clusters in a mammography prediction model. Innovation and Emerging Technologies, 12, 2550030.

6.  Huang, K. Y., Hsu, Y. L., Chung, C. L., Chen, H. C., Horng, M. H., Lin, C. H., ... & Xu, J. L. (2025). Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction. Scientific Reports, 15(1), 17858. 

7.  Yin, H. C., Lei, R. L., Xu, J. L., Lin, C. M., & Hsu, Y. L. (2025). Enhancing stroke prognosis prediction using deep convolution neural networks. Journal of Mechanics in Medicine and Biology, 2540039. 

8.  Huang, K. Y., Chung, C. L., & Xu, J. L. (2025). Deep learning object detection-based early detection of lung cancer. Frontiers in Medicine, 12, 1567119. 

9.  Chen, Y. H., Luo, X. Y., Chang, C. H., Kuo, C. T., Shih, S. J., Chang, M. Y., ... & Xu, J. L. (2025). Post-surgical fall risk prediction: a machine learning approach for spine and lower extremity procedures. Frontiers in Medicine, 12, 1574305. 

10.  Huang, K. Y., Lin, C. H., Chi, S. H., Hsu, Y. L., & Xu, J. L. (2024). Optimizing extubation success: a comparative analysis of time series algorithms and activation functions. Frontiers in Computational Neuroscience, 18, 1456771. 

11.  Jong, C. B., Lu, T. S., Liao, M. T., Xu, J. L., Chen, C. K., Kuo, J. C., & Wu, C. C. (2024). Comparison of Nitroglycerin-Induced Pressure Ratio Drop and Resting Full-Cycle Ratio in a Pressure Wire Study. Journal of Clinical Medicine, 13(22), 6716. 

12.  Chen, Y. H., & Xu, J. L. (2023). Applying artificial intelligence to predict falls for inpatient. Frontiers in Medicine, 10, 1285192. 

13.  Huang, K. Y., Hsu, Y. L., Chen, H. C., Horng, M. H., Chung, C. L., Lin, C. H., ... & Hou, M. H. (2023). Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters. Frontiers in medicine, 10, 1167445. 

14.  Xu, J. L., & Hsu, Y. L. (2022). Analysis of agricultural exports based on deep learning and text mining. The Journal of Supercomputing, 78(8), 10876-10892. 

15.  Xu, J. L., & Hsu, Y. L. (2022). The impact of news sentiment indicators on agricultural product prices. Computational Economics, 59(4), 1645-1657.