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Pearse A. Keane — most-cited papers & profile · Computer Vision
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Pearse A. Keane
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Most-cited papers
oculomix: Hierarchical Sampling for Retinal-Based Systemic Disease Prediction
2026
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics
2025
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis
2025
Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?
2025
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
2025
Deep learning for predicting refractive error from retinal fundus images
2017
Forecasting Future Humphrey Visual Fields Using Deep Learning
2018
Learning to Address Intra-segment Misclassification in Retinal Imaging
2021
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
2024
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting
2024
Top co-authors
Yukun Zhou
· 8
Ke Zou
· 5
Jocelyn Hui Lin Goh
· 4
Rui Santos
· 4
Sahana Srinivasan
· 4
Yih Chung Tham
· 4
Haoyu Chen
· 3
Meng Wang
· 3
Samantha Min Er Yew
· 3
Siegfried K. Wagner
· 3
Carol Y. Cheung
· 2
Cecilia S. Lee
· 2
Topics
cs.CV
eess.IV
cs.LG
cs.AI
Uncategorized