A hybrid time-to-digital converter based on residual time extraction and amplification. - Jin Wu 004; Wenlong Zhang; Xiangrong Yu; Qi Jiang; Lixia Zheng; Weifeng Sun (Microelectron. J., 2017)

64 × 64 GM-APD array-based readout integrated circuit for 3D imaging applications. - Jin Wu 004; Zhiming Qian; Yang Zhao; Xiangrong Yu; Lixia Zheng; Weifeng Sun (Sci. China Inf. Sci., 2019)

A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. - Siwen Wang; Di Dong; Liang Li; Hailin Li; Yan Bai; Yahua Hu; Yuanyi Huang; Xiangrong Yu; Sibin Liu; Xiaoming Qiu; Ligong Lu; Meiyun Wang; et al. (IEEE J. Biomed. Health Informatics, 2021)

Optimizing Real-Time Trichiasis Object Detection: A Comparative Analysis of YOLOv5 and YOLOv8 Performance Metrics. - Mini Han Wang; Yang Yu; Zhiyuan Lin; Peijin Zeng; Haoyang Liu; Yunxiao Liu; Wenhan Hu; Xiaoxiao Fang; Xudong Jiang; Guangshun Chen; Guanghui Hou; Kelvin Kam Lung Chong; et al. (ICSAI, 2023)

Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images. - Xiujuan Liu; Jun Mao; Ning Sun; Xiangrong Yu; Lei Chai; Ye Tian; Jianming Wang; Jianchao Liang; Haiquan Tao; Lihua Yuan; Jiaming Lu; Yang Wang; et al. (J. Digit. Imaging, 2023)

Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations. - Xiujuan Liu; Jun Mao; Ning Sun; Xiangrong Yu; Lei Chai; Ye Tian; Jianming Wang; Jianchao Liang; Haiquan Tao; Zhishun Wang; Ligong Lu (J. Digit. Imaging, 2023)

AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions. - Mini Han Wang; Lumin Xing; Yi Pan 001; Feng Gu 001; Junbin Fang; Xiangrong Yu; Chi Pui Pang; Kelvin Kam Lung Chong; Carol Yim-lui Cheung; Xu-Lin Liao; Xiaoxiao Fang; Jie Yang 057; et al. (Big Data Min. Anal., 2024)

Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. - Mini Han Wang; Jiazheng Cui; Simon Ming-Yuen Lee; Zhiyuan Lin; Peijin Zeng; Xinyue Li; Haoyang Liu; Yunxiao Liu; Yang Xu; Yapeng Wang; José Lopes Camilo Da Costa Alves; Guanghui Hou; et al. (Frontiers Artif. Intell., 2025)

Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions. - Mini Han Wang; Xudong Jiang; Peijin Zeng; Xinyue Li; Kelvin Kam Lung Chong; Guanghui Hou; Xiaoxiao Fang; Yang Yu; Xiangrong Yu; Junbin Fang; Yi Pan 001 (Frontiers Artif. Intell., 2025)