Luis Filipe Nakayama

According to our database1, Luis Filipe Nakayama authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams.
CoRR, July, 2025

Evaluating Large Language Models for Multimodal Simulated Ophthalmic Decision-Making in Diabetic Retinopathy and Glaucoma Screening.
CoRR, July, 2025

Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection.
CoRR, May, 2025

Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling.
CoRR, March, 2025

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?
CoRR, 2024

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications.
CoRR, 2024

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era.
CoRR, 2024

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Classification of Keratitis from Eye Corneal Photographs using Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images.
CoRR, 2023

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review.
CoRR, 2023

De-identification and Obfuscation of Gender Attributes from Retinal Scans.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023


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