De-identification and Obfuscation of Gender Attributes from Retinal Scans. - Chenwei Wu 006; Xiyu Yang; Emil Ghitman Gilkes; Hanwen Cui; Jiheon Choi; Na Sun; Ziqian Liao; Bo Fan; Mauricio Santillana; Leo A. Celi; Paolo Silva; Luis Filipe Nakayama (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. - Luis Filipe Nakayama; João Matos; Justin Quion; Frederico Novaes; William Greig Mitchell; Rogers Mwavu; Ju-Yi Ji Hung; Alvina Pauline dy Santiago; Warachaya Phanphruk; Jaime S. Cardoso 001; Leo Anthony Celi (CoRR, 2023)

DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. - Yevgeniy Men; Jonathan Fhima; Leo Anthony Celi; Lucas Zago Ribeiro; Luis Filipe Nakayama; Joachim A. Behar (CoRR, 2023)

Classification of Keratitis from Eye Corneal Photographs using Deep Learning. - Maria Miguel Beirão; João Matos; Tiago Gonçalves; Camila Kase; Luis Filipe Nakayama; Denise de Freitas; Jaime S. Cardoso 001 (BIBM, 2024)

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. - David S. Restrepo; Luis Filipe Nakayama; Robyn Gayle Dychiao; Chenwei Wu 006; Liam G. McCoy; Jose Carlo Artiaga; Marisa Cobanaj; João Matos; Jack Gallifant; Danielle S. Bitterman; Vincenz Ferrer; Yindalon Aphinyanaphongs; et al. (ICHI, 2024)

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. - David S. Restrepo; Chenwei Wu 006; Sebastián Andrés Cajas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Does Data-Efficient Generalization Exacerbate Bias in Foundation Models? - Dilermando Queiroz; Anderson Carlos; Maíra Fatoretto; André Anjos; Lilian Berton; Luis Filipe Nakayama (CoRR, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)

Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling. - Jonathan Fhima; Jan Van Eijgen; Lennert Beeckmans; Thomas Jacobs; Moti Freiman; Luis Filipe Nakayama; Ingeborg Stalmans; Chaim Baskin; Joachim A. Behar (CoRR, 2025)

Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection. - Benjamin A. Cohen; Jonathan Fhima; Meishar Meisel; Meital Baskin; Luis Filipe Nakayama; Eran Berkowitz; Joachim A. Behar (CoRR, 2025)

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening. - Cindy Lie Tabuse; David Restepo; Carolina Pelegrini Barbosa Gracitelli; Fernando Korn Malerbi; Caio Regatieri; Luis Filipe Nakayama (CoRR, 2025)

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams. - Leonor Fernandes; Tiago Gonçalves; João Matos; Luis Filipe Nakayama; Jaime S. Cardoso 001 (CoRR, 2025)