Zhou, A., Li, Z., Paul, W., Burlina, P., Mocharla, R., Joshi, N., Gu, S., Nanegrungsunk, O., Bressler, S., Cai, C. X., Alvin Liu, T. Y., Moini, H., Sepehrband, F., Bressler, N. M., & Kong, J. (2025). Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence. JAMA Network Open, 8(1), e2453770. https://doi.org/10.1001/jamanetworkopen.2024.53770

Wang, Y., Zhang, S., Zhong, W., Chen, H., Zhao, Y., Song, H., Wong, T. Y., Chen, Y., Zhang, Y., & Zhao, C. (2023). Development of high-performance point-of-care aqueous VEGF detection system and proof-of-concept validation in RVO patients. Clinical Chemistry and Laboratory Medicine (CCLM), 62(3), 472–483. https://doi.org/10.1515/cclm-2023-0749

İnam, O., Kaplan, H. J., & Tezel, T. H. (2023). Retinal Hydration Assessment With Optical Coherence Tomography: Unraveling Its Significance in Retinal Fluid Dynamics, Macular Edema and Cell Viability. Translational Vision Science & Technology, 12(8), 4. https://doi.org/10.1167/tvst.12.8.4

Paul, W., Burlina, P., Mocharla, R., Joshi, N., Li, Z., Gu, S., Nanegrungsunk, O., Lin, K., Bressler, S. B., Cai, C. X., Kong, J., Liu, T. Y. A., Moini, H., Du, W., Amer, F., Chu, K., Vitti, R., Sepehrband, F., & Bressler, N. M. (2023). Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema. JAMA Ophthalmology, 141(7), 677. https://doi.org/10.1001/jamaophthalmol.2023.2271

Breazzano, M. P., Ledesma-Gil, G., Essilfie, J. O., Bacci, T., Pandey, A., & Yannuzzi, L. A. (2023). RETINAL RACEMOSE HEMANGIOMA (RETINAL ARTERIOVENOUS COMMUNICATION) DIAGNOSED AND MANAGED WITH MULTIMODAL IMAGING. RETINAL Cases & Brief Reports, 17(3), 279–284. https://doi.org/10.1097/icb.0000000000001167

Ruff, A., Tezel, A., & Tezel, T. H. (2022). Anatomical and functional correlates of cystic macular edema in retinitis pigmentosa. PLOS ONE, 17(10), e0276629. https://doi.org/10.1371/journal.pone.0276629