Luis Filipe Nakayama

According to our database, Luis Filipe Nakayama authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution.

Sebastián Andrés Cajas, Ashaba Judith, Rahul Gorijavolu, Sahil Kapadia, Hillary Clinton Kasimbazi, Leo Kinyera, Emmanuel Paul Kwesiga, Sri Sri Jaithra Varma Manthena, Luis Filipe Nakayama, Ninsiima Doreen, Leo Anthony Celi

CoRR, April, 2026

On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings.

David S. Restrepo, Miguel L. Martins, Chenwei Wu, Luis Filipe Nakayama, Diego M. Lopez, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante

CoRR, March, 2026

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, July, 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, May, 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, March, 2025

Enhancing AI-based diabetic retinopathy screening in low- and middle-income countries with synthetic data.

Zitao Shuai, Chenwei Wu, Zhengxu Tang, David S. Restrepo, Michael G. Morley, Luis Filipe Nakayama

J. Biomed. Informatics, 2025

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation.

João Matos, Shan Chen, 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, Leo Anthony Celi, An-Kwok Ian Wong, Danielle S. Bitterman, Jack Gallifant

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams.

Leonor Fernandes, Tiago Gonçalves, João Matos, Luis Filipe Nakayama, Jaime S. Cardoso

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs.

David S. Restrepo, Chenwei Wu, 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, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications.

David S. Restrepo, Chenwei Wu, Sebastián Andrés Cajas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López

CoRR, 2024

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era.

David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López

CoRR, 2024

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering.

David S. Restrepo, Luis Filipe Nakayama, Robyn Gayle Dychiao, Chenwei Wu, Liam G. McCoy, Jose Carlo Artiaga, Marisa Cobanaj, João Matos, Jack Gallifant, Danielle S. Bitterman, Vincenz Ferrer, Yindalon Aphinyanaphongs, Leo Anthony Celi

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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

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, Leo Anthony Celi

CoRR, 2023

De-identification and Obfuscation of Gender Attributes from Retinal Scans.

Chenwei Wu, 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

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023