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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

Kizhatil, K., Clark, G. M., Sunderland, D. K., Bhandari, A., Horbal, L. J., Balasubramanian, R., & John, S. W. M. (2025). FYN regulates aqueous humor outflow and IOP through the phosphorylation of VE-CADHERIN. Nature Communications, 16(1). https://doi.org/10.1038/s41467-024-55232-8

Susanna, C. T., De Moraes, C. G., Alhadeff, P., Susanna, B., Susanna, F., Germano, R. A. S., & Susanna, R. (2024). Reproducibility of Peaks During Water-drinking Test in Patients Treated for Open-angle Glaucoma. Journal of Ophthalmic and Vision Research, 19(4). https://doi.org/10.18502/jovr.v19i4.14982

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

Gordon, M. O., Heuer, D. K., Higginbotham, E. J., Parrish, R. K., Liu, L., Brandt, J. D., Huecker, J. B., Miller, J. P., Perera, C., Xie, C., Keltner, J. L., Johnson, C. A., Gardiner, S. K., Liebmann, J. M., & Kass, M. A. (2024). Visual Field Progression in the Ocular Hypertension Treatment Study. American Journal of Ophthalmology. https://doi.org/10.1016/j.ajo.2024.11.017

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

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

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

Gad, R. E., Kahn, J., & Trief, D. (2024). Spontaneous Reattachment of a Detached Sutured Descemet-Stripping Automated Endothelial Keratoplasty Graft. Case Reports in Ophthalmology, 15(1), 41–46. Portico. https://doi.org/10.1159/000535402

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

Verma, S. S., Gudiseva, H. V., Chavali, V. R. M., Salowe, R. J., Bradford, Y., Guare, L., Lucas, A., Collins, D. W., Vrathasha, V., Nair, R. M., Rathi, S., Zhao, B., He, J., Lee, R., Zenebe-Gete, S., Bowman, A. S., McHugh, C. P., Zody, M. C., Pistilli, M., … O’Brien, J. M. (2024). A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell, 187(2), 464-480.e10. https://doi.org/10.1016/j.cell.2023.12.006

Oliveira, M. A., Senger, C., Souza, R. P., Moraes, C. G. de, Messias, A., & Paula, J. S. (2024). Saccadic movements during an exploratory visual search task in patients with glaucomatous visual field loss. Arquivos Brasileiros de Oftalmologia, 87(3). https://doi.org/10.5935/0004-2749.2022-0366

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

De Moraes, C. G., Lane, K. J., Wang, X., & Liebmann, J. M. (2023). A potential primary endpoint for clinical trials in glaucoma neuroprotection. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-34009-x

Oseni, J., Tauber, J., Rand, G., Moon, J. Y., Gore, P., Edwards, B., Livesay, T., Vizzerra, A., & Chuck, R. S. (2023). Head Trauma Effect on Corneal Endothelial Cell Density in Eye Bank Donors 50 Years or Older. Eye Banking and Corneal Transplantation, 2(4), e0020. https://doi.org/10.1097/ebct.0000000000000020

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

Moster, M. R., Shalaby, W. S., Myers, J. S., Razeghinejad, R., Ramesh, S., Katz, L. J., Kolomeyer, N. N., Lee, D., & Shukla, A. G. (2023). Evaluation of the Hypertensive Phase after Ahmed Glaucoma Valve Implantation in Neovascular Glaucoma. Journal of Current Glaucoma Practice, 17(2), 91–97. https://doi.org/10.5005/jp-journals-10078-1406

Gherghel, D., & De Moraes, G. (2022). Barriers to IOP-independent treatments in glaucoma clinical trials. Eye, 37(10), 1955–1957. https://doi.org/10.1038/s41433-022-02305-x

Ambrósio, R., Machado, A. P., Leão, E., Lyra, J. M. G., Salomão, M. Q., Esporcatte, L. G. P., da Fonseca Filho, J. B. R., Ferreira-Meneses, E., Sena, N. B., Haddad, J. S., Costa Neto, A., de Almeida, G. C., Roberts, C. J., Elsheikh, A., Vinciguerra, R., Vinciguerra, P., Bühren, J., Kohnen, T., Kezirian, G. M., … Lopes, B. T. (2023). Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and Biomechanical Data. American Journal of Ophthalmology, 251, 126–142. https://doi.org/10.1016/j.ajo.2022.12.016

Greenstein, V. C., Castillejos, D. S., Tsang, S. H., Lee, W., Sparrow, J. R., Allikmets, R., Birch, D. G., & Hood, D. C. (2023). Monitoring Lesion Area Progression in Stargardt Disease: A Comparison of En Face Optical Coherence Tomography and Fundus Autofluorescence. Translational Vision Science & Technology, 12(5), 2. https://doi.org/10.1167/tvst.12.5.2

Shukla, A. G., Milman, T., Fertala, J., Steplewski, A., & Fertala, A. (2023). Scar formation in the presence of mitomycin C and the anti-fibrotic antibody in a rabbit model of glaucoma microsurgery: A pilot study. Heliyon, 9(4), e15368. https://doi.org/10.1016/j.heliyon.2023.e15368

Tsamis, E., La Bruna, S., Rai, A., Leshno, A., Grossman, J., Cioffi, G., Liebmann, J. M., De Moraes, C. G., & Hood, D. C. (2023). Progression of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry. Translational Vision Science & Technology, 12(3), 19. https://doi.org/10.1167/tvst.12.3.19

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

Hood, D. C., La Bruna, S., Tsamis, E., Leshno, A., Melchior, B., Grossman, J., Liebmann, J. M., & De Moraes, C. G. (2022). The 24-2 Visual Field Guided Progression Analysis Can Miss the Progression of Glaucomatous Damage of the Macula Seen Using OCT. Ophthalmology Glaucoma, 5(6), 614–627. https://doi.org/10.1016/j.ogla.2022.03.007

Miller, S. C., Meeralakshmi, P., Fliotsos, M. J., Justin, G. A., Yonekawa, Y., Chen, A., Hoskin, A. K., Blanch, R. J., Cavuoto, K. M., Low, R., Li, X., Gardiner, M., Liu, T. A., Shah, A. S., Auran, J. D., Agrawal, R., & Woreta, F. A. (2022). Global Current Practice Patterns for the Management of Hyphema. Clinical Ophthalmology, Volume 16, 3135–3144. https://doi.org/10.2147/opth.s372273

Nishida, T., Moghimi, S., Mohammadzadeh, V., Wu, J.-H., Yamane, M. L. M., Kamalipour, A., Mahmoudinezhad, G., Micheletti, E., Liebmann, J. M., Fazio, M. A., Girkin, C. A., Zangwill, L. M., & Weinreb, R. N. (2022). Association Between Ganglion Cell Complex Thinning and Vision-Related Quality of Life in Glaucoma. JAMA Ophthalmology. https://doi.org/10.1001/jamaophthalmol.2022.2140

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

Kim, J., Men, C. J., Ratanawongphaibul, K., Papadogeorgou, G., Tsikata, E., Ben-David, G. S., Antar, H., Poon, L. Y.-C., Freeman, M., Park, E. A., Guzman Aparicio, M. A., de Boer, J. F., & Chen, T. C. (2022). Reproducibility of Neuroretinal Rim Measurements Obtained from High-Density Spectral Domain Optical Coherence Tomography Volume Scans. Clinical Ophthalmology, Volume 16, 2595–2608. https://doi.org/10.2147/opth.s369807

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

Villasana, G. A., Bradley, C., Elze, T., Myers, J. S., Pasquale, L., De Moraes, C. G., Wellik, S., Boland, M. V., Ramulu, P., Hager, G., Unberath, M., & Yohannan, J. (2022). Improving Visual Field Forecasting by Correcting for the Effects of Poor Visual Field Reliability. Translational Vision Science & Technology, 11(5), 27. https://doi.org/10.1167/tvst.11.5.27

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