Edmund Y. Lam  —  Publications

All keywords:

| AI and deep learning | biomedical microscopy | compressed sensing | computational imaging | computational lithography | digital holography | education technology | electronic imaging | eye imaging | lensless imaging | light field | machine vision and automation | magnetic resonance imaging | metasurface | microplastics | neuromorphic imaging | optical coherence tomography | speckle | super-resolution |

Current keyword: eye imaging

Academic Journals:

1. Yuxing Li, Pak Wing Chiu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Dual-mode imaging system for early detection and monitoring of ocular surface diseases,” IEEE Transactions on Biomedical Circuits and Systems, vol. 18, no. 4, pp. 783–798, August 2024.
   DOI: 10.1109/TBCAS.2024.3411713

Conference Proceedings:

1. Zhiwei Wang and Yuxing Li and Meilu Zhu and Defeng He and Edmund Y. Lam, “Joint segmentation and grading with iterative optimization for multimodal glaucoma diagnosis,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026.
   DOI: 10.1109/ISBI61048.2026.11515543

2. Juntao Qiu, Yaping Zhao, Yuxing Li, Allie Lee, Vincent Tam, and Edmund Y. Lam, “POSEIDON: Portable Ocular Surface Evaluation with Integrated Design of Hardware and Network,” in IEEE International Symposium on Biomedical Imaging, pp. 1–4, April 2026.
   DOI: 10.1109/ISBI61048.2026.11515330

3. Tianqin Yang, Vincent W.L. Tam, Edmund Y. Lam, Alex H.S. Kan, Khant Nyar Aung, and Allie Lee, “MetaNODES: A virtual reality-based approach to intelligent neuro-ophthalmology education,” in IEEE Digital Education and MOOCS Conference, pp. 1–6, October 2024.
   DOI: 10.1109/DEMOcon63027.2024.10747920

4. Tianqin Yang, Vincent W.L. Tam, Edmund Y. Lam, Yuxing Li, Valerie Sophia Chung, and Allie Lee, “Enhancing the medical education on the diagnoses of neuro-ophthalmologic diseases through gamification and virtual reality,” in International Conference on Open and Innovative Education, pp. 93–107, July 2024.

5. Yuxing Li, Pak Wing Chiu, Yanmin Zhu, Yuqing Cao, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Monitoring the progress of subconjunctival hemorrhage through spectral reconstruction from RGB images,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 128570F, January 2024.
   DOI: 10.1117/12.3000905

6. Yuxing Li, Hok Shing Kan, Yanmin Zhu, Yuqing Cao, Vincent Tam, Allie Lee, and Edmund Y. Lam, “An intelligent and handheld device for early identification of meibomian gland irregularities,” in Ophthalmic Technologies, volume 12824 of Proceedings of the SPIE, pp. 128240D, January 2024.
   DOI: 10.1117/12.2692131

7. Pak Wing Chiu, Yuxing Li, Yanmin Zhu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “Deep learning-based system for assessing conjunctival injection and subconjunctival hemorrhage in red eye,” in The 16th Congress of the Asia-Pacific Vitreo-retina Society (APVRS), pp. 0139, December 2023.

8. Yuxing Li, Hok Shing Kan, Yanmin Zhu, Vincent Tam, Nicholas S. Fung, Allie Lee, and Edmund Y. Lam, “Automated analysis of meibomian gland irregularities using deep learning,” in American Academy of Ophthalmology (AAO) Annual Conference, pp. PO134, November 2023.

9. Yuxing Li, Pak Wing Chiu, Yanmin Zhu, Vincent Tam, Allie Lee, and Edmund Y. Lam, “A deep-learning-enabled monitoring system for ocular redness assessment,” in IEEE Biomedical Circuits and Systems Conference, pp. 1–5, October 2023.
   DOI: 10.1109/BioCAS58349.2023.10388997

10. Wai Ming Yip, Wing Lam Chan, Jason Li, Paul Lee, Kendrick C. Shih, Edmund Y. Lam, and Desmond Yap, “Application of self-supervised learning algorithms on retinal images of patients with diabetes mellitus to predict renal outcome,” in Asia Pacific Tele-Ophthalmology Society Symposium, pp. 33, September 2022.
    Best Poster Award at the conference