学术荣誉
Heng Li(1/1)，IEEE TMI Distinguished，2024
Heng Li(3/7，通讯作者)，ICIC Best Paper Award，2024
Heng Li(7/7，通讯作者)，ICAI Best Paper Award，2024
李衡(1/2，指导老师)，“挑战杯”全国大学生课外学术科技作品竞赛2024年度“揭榜挂帅”专项赛二等奖，2024
李衡(1/2，指导老师)，全球校园人工智能算法精英大赛全国三等奖，2024
Heng Li(1/1)，IEEE TMI Distinguished，2023
Heng Li(1/6)，MICCAI USenhance Challenge 3rd Place Award，2023
李衡(2/11)，第五届中国“互联网+”大学生创新创业大赛金奖，2019
科研项目
国家自然科学基金，面向临床复杂成像场景的眼底图像自适应修复方法研究，2025-2027，主持；
广东省自然科学基金，眼底影像筛查场景中基于先验知识的自适应图像增强方法研究，2025-2027，主持；
深圳市自然科学基金，面向便携式眼底成像系统的医学图像质控及诊断技术研究，2024-2027，主持；
广东省自然科学基金，面向眼科疾病辅助诊断的多模态影像迁移学习算法研究，2020-2023，主持；
中国博士后科学基金，髋膝关节置换手术导航系统关键技术研究，2018-2020，主持；
国家重点研发计划，覆盖高度近视及其并发症的预警模型和风险评估系统，2024-2027，参与；
国家重点研发计划，低视力关护导引机器人，2024-2027，参与；
国家自然科学基金，基于AS-OCT三维影像及动态视频的青光眼闭角检测，2023-2026，参与；
国家自然科学基金，基于知识图谱的白内障患者辅助决策智能系统建立研究，2022-2025，参与；
国家重点研发计划，混合现实引导精准、安全头颈微创手术导航机器人系统研发，2019-2022，参与。
[1]Li, H., Ou, M., Li, H., Qiu, Z., Niu, K., Fu, H., Liu, J. (2025). Multi-view Test-time Adaptation for Semantic Segmentation in Clinical Cataract Surgery. IEEE Transactions on Medical Imaging, Accepted. (中科院1区Top期刊，第一作者)
[2]Li, H., Lin, Z., Qiu, Z., Li, Z., Niu, K., Guo, N., ... & Liu, J. (2024). Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Transactions on Medical Imaging, 43(4), 1323-1336. (中科院1区Top期刊，第一作者)
[3]Li, H., Liu, H., Fu, H., Xu, Y., Shu, H., Niu, K., ... & Liu, J. (2023). A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Analysis, 90, 102945. (中科院1区Top期刊，第一作者)
[4]Li, H., Li, H., Zhao, W., Fu, H., Su, X., Hu, Y., & Liu, J. (2023, October). Frequency-mixed single-source domain generalization for medical image segmentation. In International Conference on MICCAI (pp. 127-136). Cham: Springer Nature Switzerland. (医学影像顶会，第一作者)
[5]Li, H., Liu, H., Fu, H., Shu, H., Zhao, Y., Luo, X., ... & Liu, J. (2022, September). Structure-consistent restoration network for cataract fundus image enhancement. In International Conference on MICCAI (pp. 487-496). Cham: Springer Nature Switzerland. (医学影像顶会，第一作者)
[6]Li, H., Liu, H., Hu, Y., Fu, H., Zhao, Y., Miao, H., & Liu, J. (2022). An annotation-free restoration network for cataractous fundus images. IEEE Transactions on Medical Imaging, 41(7), 1699-1710. (中科院1区Top期刊，第一作者)
[7]Li, H., Liu, Z., Huang, Y., & Shi, Y. (2015). Quaternion generic Fourier descriptor for color object recognition. Pattern recognition, 48(12), 3895-3903. (中科院1区Top期刊，第一作者)
[8]Li, H., Pang, F., & Liu, Z. (2019). A modeling strategy for cell dynamic morphology classification based on local deformation patterns. Biomedical Signal Processing and Control, 54, 101587. (JCR 1区期刊，第一作者)
[9]Li, H., Pang, F., Shi, Y., & Liu, Z. (2018). Cell dynamic morphology classification using deep convolutional neural networks. Cytometry Part A, 93(6), 628-638. (中科院3区期刊，第一作者)
[10] Li H.,Li H.*, Chen J., ... & Liu, J. (2025). AIF-SFDA: Autonomous Information Filter driven Source-Free Domain Adaptation for Medical Image Segmentation. Proceedings of the AAAI. (CCF-A会议，通讯作者)
[11] Lin, H., Gao, Y.,Li, H.*, Zhang, X., Yu, X., Chen, J., & Liu, J. (2024, July). Aggregation Strategy with Gradient Projection for Federated Learning in Diagnosis. In International Conference on Intelligent Computing (pp. 207-218). Singapore: Springer Nature Singapore. (CCF-C国际会议，Best Paper Award，通讯作者)
[12] Liu, H.,Li, H. *, Fu, H., Xiao, R., Gao, Y., Hu, Y., & Liu, J. (2022, September). Degradation-invariant enhancement of fundus images via pyramid constraint network. In International Conference on MICCAI (pp. 507-516). Cham: Springer Nature Switzerland. (医学影像顶会，通讯作者)
[13] Chu, Y., Yang, X.,Li, H. *, Ai, D., Ding, Y., Fan, J., ... & Yang, J. (2020). Multi-level feature aggregation network for instrument identification of endoscopic images. Physics in medicine & biology, 65(16), 165004. (JCR 1区期刊，通讯作者)
[14] Chu, Y.,Li, H. *, Li, X., Ding, Y., Yang, X., Ai, D., ... & Yang, J. (2020). Endoscopic image feature matching via motion consensus and global bilateral regression. Computer Methods and Programs in Biomedicine, 190, 105370. (JCR 1区期刊，通讯作者)
[15] Fang, H.,Li, H. *, Song, S., Pang, K., Ai, D., Fan, J., ... & Yang, J. (2020). Motion-flow-guided recurrent network for respiratory signal estimation of x-ray angiographic image sequences. Physics in Medicine & Biology, 65(24), 245020. (JCR 1区期刊，通讯作者)
