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Iscience|July 23, 2025
EYE-Llama, an in-domain large language model for ophthalmologyTania Haghighi, Sina Gholami, Jared Todd Sokol, et al.Biorxiv : the Preprint Server for Biology|August 20, 2025
Compact Vision-Language Models Enable Efficient and Interpretable Automated OCT Analysis Through Layer Specific Multimodal LearningTania Haghighi, Sina Gholami, Jared Todd Sokol, et al.Ophthalmic Surgery, Lasers & Imaging Retina|May 2, 2015
Acute retinal necrosis secondary to herpes simplex virus type 2 in neonatesVincent D Venincasa, Andres Emanuelli, Theodore Leng, et al.Scientific Reports|September 23, 2020
Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkersImon Banerjee, Luis de Sisternes, Joelle A Hallak, et al.Communications Engineering|January 22, 2025
Distributed training of foundation models for ophthalmic diagnosisSina Gholami, Fatema-E Jannat, Atalie Carina Thompson, et al.Archives of Ophthalmology (Chicago, Ill. : 1960)|December 10, 2002
Microcontact printing on human tissue for retinal cell transplantationChristina J Lee, Philip Huie, Theodore Leng, et al.Journal of the American Medical Informatics Association : JAMIA|March 17, 2023
Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysisMeghan Hatfield, Thai Hien Nguyen, Richard Chapman, et al.Communications Medicine|December 27, 2025
Compact vision language models enable efficient and interpretable optical coherence tomography through layer-specific multimodal learningTania Haghighi, Sina Gholami, Jared Todd Sokol, et al.Scientific Reports|April 13, 2023
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification modelsMinhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, et al.Diagnostics (Basel, Switzerland)|July 27, 2022
Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence ModelsNergis C Khan, Chandrashan Perera, Eliot R Dow, et al.Pageof 16