Jalili, J., Walker, E., Bowd, C., Belghith, A., Goldbaum, M. H., Fazio, M. A., Girkin, C. A., De Moraes, C. G., Liebmann, J. M., Weinreb, R. N., Zangwill, L. M., & Christopher, M. (2025). Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes. Bioengineering, 12(2), 139. https://doi.org/10.3390/bioengineering12020139

Hood, D. C., La Bruna, S., Durbin, M., Lee, C., Guzman, A., Gebhardt, T., Wang, Y., Stowman, A. L., De Moraes, C. G., Chaglasian, M., & Tsamis, E. (2024). A Pattern-Based OCT Metric for Glaucoma Detection. Translational Vision Science & Technology, 13(12), 21. https://doi.org/10.1167/tvst.13.12.21

Tian, Y., Sharma, A., Mehta, S., Kaushal, S., Liebmann, J. M., Cioffi, G. A., & Thakoor, K. A. (2024). Automated Identification of Clinically Relevant Regions in Glaucoma OCT Reports Using Expert Eye Tracking Data and Deep Learning. Translational Vision Science & Technology, 13(10), 24. https://doi.org/10.1167/tvst.13.10.24

Hood, D. C., Durbin, M., La Bruna, S., Lee, C., Hsiao, Y. S., El-Nimri, N. W., De Moraes, C. G., & Tsamis, E. (2024). Characteristics of a Large Database of Healthy Eyes From Optometry Practices: Implications for a Real-World Reference Database. Translational Vision Science & Technology, 13(10), 8. https://doi.org/10.1167/tvst.13.10.8

Holste, G., Lin, M., Zhou, R., Wang, F., Liu, L., Yan, Q., Van Tassel, S. H., Kovacs, K., Chew, E. Y., Lu, Z., Wang, Z., & Peng, Y. (2024). Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. Npj Digital Medicine, 7(1). https://doi.org/10.1038/s41746-024-01207-4

Shi, M., Lokhande, A., Tian, Y., Luo, Y., Eslami, M., Kazeminasab, S., Elze, T., Shen, L. Q., Pasquale, L. R., Wellik, S. R., De Moraes, C. G., Myers, J. S., Zebardast, N., Friedman, D. S., Boland, M. V., & Wang, M. (2024). Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data. Translational Vision Science & Technology, 13(8), 11. https://doi.org/10.1167/tvst.13.8.11

Lin, T.-Y., Yu-Chuan Kang, E., Wang, N.-K., Kang, J.-H., Chen, K.-J., Wu, W.-C., Lai, C.-C., & Hwang, Y.-S. (2024). Association Between Pentoxifylline Use and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease: A Multi-Institutional Cohort Study. Biomedical Journal, 100771. https://doi.org/10.1016/j.bj.2024.100771

Hood, D. C., La Bruna, S., Durbin, M., Lee, C., Hsiao, Y. S., De Moraes, C. G., & Tsamis, E. (2024). Anatomical Features can Affect OCT Measures Used for Clinical Decisions and Clinical Trial Endpoints. Translational Vision Science & Technology, 13(4), 27. https://doi.org/10.1167/tvst.13.4.27

Yalla, G. R., Hyman, N., Hock, L. E., Zhang, Q., Shukla, A. G., & Kolomeyer, N. N. (2024). Performance of Artificial Intelligence Chatbots on Glaucoma Questions Adapted From Patient Brochures. Cureus. https://doi.org/10.7759/cureus.56766

Singh, R. K., Smith, S., Fingert, J., Gordon, M., Kass, M., Scheetz, T., Segrè, A. V., Wiggs, J., Elze, T., & Zebardast, N. (2024). Machine Learning–Derived Baseline Visual Field Patterns Predict Future Glaucoma Onset in the Ocular Hypertension Treatment Study. Investigative Opthalmology & Visual Science, 65(2), 35. https://doi.org/10.1167/iovs.65.2.35

El Husseini, N., Schaich, C. L., Craft, S., Rapp, S. R., Hayden, K. M., Sharrett, R., Cotch, M. F., Wong, T. Y., Luchsinger, J. A., Espeland, M. A., Baker, L. D., Bertoni, A. G., & Hughes, T. M. (2024). Retinal vessel caliber and cognitive performance: the multi-ethnic study of atherosclerosis (MESA). Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-54412-2

Feenstra, H. M. A., van Dijk, E. H. C., Cheung, C. M. G., Ohno-Matsui, K., Lai, T. Y. Y., Koizumi, H., Larsen, M., Querques, G., Downes, S. M., Yzer, S., Breazzano, M. P., Subhi, Y., Tadayoni, R., Priglinger, S. G., Pauleikhoff, L. J. B., Lange, C. A. K., Loewenstein, A., Diederen, R. M. H., Schlingemann, R. O., … Boon, C. J. F. (2024). Central serous chorioretinopathy: An evidence-based treatment guideline. Progress in Retinal and Eye Research, 101, 101236. https://doi.org/10.1016/j.preteyeres.2024.101236

Christopher, M., Gonzalez, R., Huynh, J., Walker, E., Radha Saseendrakumar, B., Bowd, C., Belghith, A., Goldbaum, M. H., Fazio, M. A., Girkin, C. A., De Moraes, C. G., Liebmann, J. M., Weinreb, R. N., Baxter, S. L., & Zangwill, L. M. (2024). Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data. Bioengineering, 11(2), 140. https://doi.org/10.3390/bioengineering11020140

Chuter, B., Huynh, J., Bowd, C., Walker, E., Rezapour, J., Brye, N., Belghith, A., Fazio, M. A., Girkin, C. A., De Moraes, G., Liebmann, J. M., Weinreb, R. N., Zangwill, L. M., & Christopher, M. (2024). Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection. Translational Vision Science & Technology, 13(1), 23. https://doi.org/10.1167/tvst.13.1.23

Leshno, A., Tsamis, E., Hirji, S., Gomide, G. A., Harizman, N., De Moraes, C. G., Garg Shukla, A., Cioffi, G. A., Hood, D. C., & Liebmann, J. M. (2024). Detecting Established Glaucoma Using OCT Alone: Utilizing an OCT Reading Center in a Real-World Clinical Setting. Translational Vision Science & Technology, 13(1), 4. https://doi.org/10.1167/tvst.13.1.4

Leshno, A., Tsamis, E., Harizman, N., De Moraes, C. G., La Bruna, S., Rai, A., Garg-Shukla, A., Cioffi, G. A., Wang, Q., Liebmann, J. M., & Hood, D. C. (2023). Improving glaucoma staging in clinical practice by combining the ICD-10 glaucoma severity classification system and optical coherence tomography. Eye, 38(1), 153–160. https://doi.org/10.1038/s41433-023-02650-5

Hood, D. C., La Bruna, S., Leshno, A., Gomide, G. A., Kim, M. J., Cioffi, G. A., Liebmann, J. M., De Moraes, C. G., & Tsamis, E. (2023). A Model of Progression to Help Identify Macular Damage Due to Glaucoma. Investigative Opthalmology & Visual Science, 64(15), 8. https://doi.org/10.1167/iovs.64.15.8

Javitt, D. C., Martinez, A., Sehatpour, P., Beloborodova, A., Habeck, C., Gazes, Y., Bermudez, D., Razlighi, Q. R., Devanand, D. P., & Stern, Y. (2023). Disruption of early visual processing in amyloid-positive healthy individuals and mild cognitive impairment. Alzheimer’s Research & Therapy, 15(1). https://doi.org/10.1186/s13195-023-01189-7

Ong, S. S., Peavey, J. J., Hiatt, K. D., Whitlow, C. T., Sappington, R. M., Thompson, A. C., Lockhart, S. N., Chen, H., Craft, S., Rapp, S. R., Fitzpatrick, A. L., Heckbert, S. R., Luchsinger, J. A., Klein, B. E. K., Meuer, S. M., Cotch, M. F., Wong, T. Y., & Hughes, T. M. (2023). Association of fractal dimension and other retinal vascular network parameters with cognitive performance and neuroimaging biomarkers: The Multi‐Ethnic Study of Atherosclerosis (MESA). Alzheimer’s & Dementia, 20(2), 941–953. Portico. https://doi.org/10.1002/alz.13498

Mahmoudinezhad, G., Nishida, T., Weinreb, R. N., Baxter, S. L., Chang, A. C., Nikkhoy, N., Walker, E., Liebmann, J. M., Girkin, C. A., & Moghimi, S. (2023). Associations of smoking and alcohol consumption with the development of open angle glaucoma: a retrospective cohort study. BMJ Open, 13(10), e072163. https://doi.org/10.1136/bmjopen-2023-072163

Akerman, M., Choudhary, S., Liebmann, J. M., Cioffi, G. A., Chen, R. W. S., & Thakoor, K. A. (2023). Extracting decision-making features from the unstructured eye movements of clinicians on glaucoma OCT reports and developing AI models to classify expertise. Frontiers in Medicine, 10. https://doi.org/10.3389/fmed.2023.1251183

Kang, E. Y.-C., Lin, T.-Y., Garg, S. J., Wang, N.-K., Chen, L.-J., Huang, P.-W., Chan, M.-J., Chen, K.-J., Wu, W.-C., Lai, C.-C., & Hwang, Y.-S. (2023). The Association of Intravitreal Injections of Different Anti-Vascular Endothelial Growth Factor with Systemic Outcomes in Diabetic Patients. Journal of Personalized Medicine, 13(3), 544. https://doi.org/10.3390/jpm13030544

Fan, R., Alipour, K., Bowd, C., Christopher, M., Brye, N., Proudfoot, J. A., Goldbaum, M. H., Belghith, A., Girkin, C. A., Fazio, M. A., Liebmann, J. M., Weinreb, R. N., Pazzani, M., Kriegman, D., & Zangwill, L. M. (2023). Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions. Ophthalmology Science, 3(1), 100233. https://doi.org/10.1016/j.xops.2022.100233

Qian, T., Gong, Q., Shen, H., Li, C., Wang, G., Xu, X., Schrauwen, I., & Wang, W. (2022). Novel variants in the RDH5 Gene in a Chinese Han family with fundus albipunctatus. BMC Ophthalmology, 22(1). https://doi.org/10.1186/s12886-022-02301-5

Thakoor, K. A., Yao, J., Bordbar, D., Moussa, O., Lin, W., Sajda, P., & Chen, R. W. S. (2022). A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-06273-w

White, N. H., Pan, Q., Knowler, W. C., Schroeder, E. B., Dabelea, D., Chew, E. Y., Blodi, B., Goldberg, R. B., Pi-Sunyer, X., Darwin, C., Schlögl, M., Nathan, D. M., Bray, G. A., Gadde, K. M., Culbert, I. W., Arceneaux, J., Chatellier, A., Dragg, A., … Brown, M. B. (2022). Risk Factors for the Development of Retinopathy in Prediabetes and Type 2 Diabetes: The Diabetes Prevention Program Experience. Diabetes Care, 45(11), 2653–2661. https://doi.org/10.2337/dc22-0860

Shokr, H., Lush, V., Dias, I. H., Ekárt, A., De Moraes, G., & Gherghel, D. (2022). The Use of Retinal Microvascular Function and Telomere Length in Age and Blood Pressure Prediction in Individuals with Low Cardiovascular Risk. Cells, 11(19), 3037. https://doi.org/10.3390/cells11193037

Melgarejo, J. D., Eijgen, J. V., Maestre, G. E., Al-Aswad, L. A., Thijs, L., Mena, L. J., Lee, J. H., Terwilliger, J. D., Petitto, M., Chávez, C. A., Brito, M., Calmon, G., Silva, E., Wei, D.-M., Cutsforth, E., Keer, K. V., Gustavo De Moraes, C., Vanassche, T., Janssens, S., … Zhang, Z.-Y. (2022). Open-Angle Glaucomatous Optic Neuropathy Is Related to Dips Rather Than Increases in the Mean Arterial Pressure Over 24-H. American Journal of Hypertension, 35(8), 703–714. https://doi.org/10.1093/ajh/hpac028

Zemborain, Z. Z., Tsamis, E., La Bruna, S., Leshno, A., De Moraes, C. G., & Hood, D. C. (2022). Test of a Retinal Nerve Fiber Bundle Trajectory Model Using Eyes With Glaucomatous Optic Neuropathy. Translational Vision Science & Technology, 11(7), 7. https://doi.org/10.1167/tvst.11.7.7

White, N. H., Pan, Q., Knowler, W. C., Schroeder, E. B., Dabelea, D., Chew, E. Y., Blodi, B., Goldberg, R. B., Pi-Sunyer, X., Darwin, C., Schlögl, M., Nathan, D. M., Goldstein, B. J., Furlong, K., Smith, K. A., Mendoza, J., Wildman, W., Simmons, M., … Hivert, M.-F. (2022). The Effect of Interventions to Prevent Type 2 Diabetes on the Development of Diabetic Retinopathy: The DPP/DPPOS Experience. Diabetes Care, 45(7), 1640–1646. https://doi.org/10.2337/dc21-2417

La Bruna, S., Rai, A., Mao, G., Kerr, J., Amin, H., Zemborain, Z. Z., Leshno, A., Tsamis, E., De Moraes, C. G., & Hood, D. C. (2022). The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage. Translational Vision Science & Technology, 11(3), 18. https://doi.org/10.1167/tvst.11.3.18

Nicolela Susanna, C., Nicolela Susanna, B., Nicolela Susanna, F., & Susanna Jr, R. (2022). Peak Intraocular Pressure Time during Water Drinking Test and Its Relationship with Glaucoma Severity. Journal of Ophthalmic and Vision Research, 17(1). https://doi.org/10.18502/jovr.v17i1.10167

Blodi, B. A., Domalpally, A., Tjaden, A. H., Barrett, N., Chew, E. Y., Knowler, W. C., Lee, C. G., Pi-Sunyer, X., Wallia, A., White, N. H., & Temprosa, M. (2022). Comparison of ETDRS 7-Field to 4-Widefield Digital Imaging in the Evaluation of Diabetic Retinopathy Severity. Translational Vision Science & Technology, 11(1), 13. https://doi.org/10.1167/tvst.11.1.13

Barua, P. D., Chan, W. Y., Dogan, S., Baygin, M., Tuncer, T., Ciaccio, E. J., Islam, N., Cheong, K. H., Shahid, Z. S., & Acharya, U. R. (2021). Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. Entropy, 23(12), 1651. https://doi.org/10.3390/e23121651

Al-Aswad, L. A., Elgin, C. Y., Patel, V., Popplewell, D., Gopal, K., Gong, D., Thomas, Z., Joiner, D., Chu, C.-K., Walters, S., Ramachandran, M., Kapoor, R., Rodriguez, M., Alcantara-Castillo, J., Maestre, G. E., Lee, J. H., & Moazami, G. (2021). Real-Time Mobile Teleophthalmology for the Detection of Eye Disease in Minorities and Low Socioeconomics At-Risk Populations. Asia-Pacific Journal of Ophthalmology, 10(5), 461–472. https://doi.org/10.1097/apo.0000000000000416