- GH164
- +852 2766 4825
- danli.shi@polyu.edu.hk
- 施博士的研究領域包括眼科數碼健康、生成式人工智能、多模態人工智能，以及整合人工智能與臨床實踐。
ORCID ID
SCOPUS ID簡歷
Dr. Danli Shi received her PhD from Zhongshan Ophthalmic Center, Sun Yat-sen University, following her MS and BS degrees from the Shanghai Jiao Tong University School of Medicine. As a physician–scientist with hands-on programming expertise, she has extensive experience in developing AI models for clinical application and in conducting both clinical and technological research. In 2023, she joined the School of Optometry at The Hong Kong Polytechnic University as a Research Assistant Professor.
研究概述
Dr Shi’s main research interests are digital biomarkers of the eye and multimodality AI. Her novel application of cross-modality framework in eye research has attracted collaborative research in China and overseas.
學歷
- Bachelor of Clinical Medicine, Shanghai Jiao Tong University
- Master of Clinical Medicine, Shanghai Jiao Tong University
- Doctor of Medicine, Sun Yat-Sen University
研究興趣
- Shi D, Lin Z, Wang W, Tan Z, Shang X, Zhang X, Meng W, Ge Z and He M. A deep learning system for fully automated retinal vessel measurement in high throughput image analysis. Frontiers in Cardiovascular Medicine. 2022;9:823436.
- Lin Z, Shi D, Zhang D, Shang X, He M and Ge Z. Camera adaptation for fundus-image-based CVD risk estimation. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2022:593-603.
- Huang Y, Li C, Shi D, Wang H, Shang X, Wang W, Zhang X, Zhang X, Hu Y and Tang S. Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms. EPMA Journal. 2023;14:73-86.
- He S, Bulloch G, Zhang L, Meng W, Shi D* and He M*. Comparing common retinal vessel caliber measurement software with an automatic deep learning system. Current Eye Research. 2023:1-7.
- Lin Z, Zhang D, Tao Q, Shi D, Haffari G, Wu Q, He M and Ge Z. Medical visual question answering: A survey. Artificial Intelligence in Medicine. 2023:102611.
- He S, Bulloch G, Zhang L, Xie Y, Wu W, He Y, Meng W, Shi D* and He M*. Cross-camera performance of deep learning algorithms to diagnose common ophthalmic diseases: a comparative study highlighting feasibility to portable fundus camera use. Curr Eye Res. 2023;48:857-863.
- Zhu Z, Shi D, Guankai P, Tan Z, Shang X, Hu W, Liao H, Zhang X, Huang Y and Yu H. Retinal age gap as a predictive biomarker for mortality risk. British Journal of Ophthalmology. 2023;107:547-554.
- Fu Y, Yusufu M, Wang Y, He M, Shi D* and Wang R*. Association of retinal microvascular density and complexity with incident coronary heart disease. Atherosclerosis. 2023;380:117196.
- Shi D, He S, Yang J, Zheng Y and He M. One-shot retinal artery and vein segmentation via cross-modality pretraining. Ophthalmology Science. 2023:100363.
- Shi D, Zhang W, He S, Chen Y, Song F, Liu S, Wang R, Zheng Y and He M. Translation of color fundus photography into fluorescein angiography using deep learning for enhanced diabetic retinopathy screening. Ophthalmology Science. 2023:100401.
