Automated analysis of retinal imaging using machine learning techniques for computer vision. - Jeffrey De Fauw; Pearse A. Keane; Nenad Tomasev; Daniel Visentin; George van den Driessche 002; Mike Johnson; Cían Hughes; Carlton Chu; Joseph R. Ledsam; Trevor Back; Tunde Peto; Geraint Rees 001; et al. (F1000Research, 2016)

Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras. - Sotiris Nousias; François Chadebecq; Jonas Pichat; Pearse A. Keane; Sébastien Ourselin; Christos Bergeles (ICCV, 2017)

Deep learning for predicting refractive error from retinal fundus images. - Avinash V. Varadarajan; Ryan Poplin; Katy Blumer; Christof Angermüller; Joe Ledsam; Reena Chopra; Pearse A. Keane; Greg Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Forecasting Future Humphrey Visual Fields Using Deep Learning. - Joanne C. Wen; Cecilia S. Lee; Pearse A. Keane; Sa Xiao; Yue Wu; Ariel Rokem; Philip P. Chen; Aaron Y. Lee (CoRR, 2018)

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. - Avinash V. Varadarajan; Pinal Bavishi; Paisan Raumviboonsuk; Peranut Chotcomwongse; Subhashini Venugopalan; Arunachalam Narayanaswamy; Jorge Cuadros; Kuniyoshi Kanai; George Bresnick; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

With an eye to AI and autonomous diagnosis. - Pearse A. Keane; Eric J. Topol (npj Digit. Medicine, 2018)

Gabor Fusion Master Slave Optical Coherence Tomography. - Adrian Gh. Podoleanu; Ramona Cernat; Adrian Bradu; Manuel Marques; Niels Møller Israelsen; Ole Bang; Sylvain Rivet; Pearse A. Keane; David Garway-Heath; Ranjan Rajendram (ICTON, 2019)

A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images. - Abdullah Alfahaid; Tim Morris 001; Tim Cootes; Pearse A. Keane; Hagar Khalid; Nikolas Pontikos; Panagiotis I. Sergouniotis; Konstantinos Balaskas (MIUA, 2019)

A Linear Approach to Absolute Pose Estimation for Light Fields. - Sotiris Nousias; Manolis I. A. Lourakis; Pearse A. Keane; Sébastien Ourselin; Christos Bergeles (3DV, 2020)

"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. - Trishan Panch; Tom J. Pollard; Heather Mattie; Emily Lindemer; Pearse A. Keane; Leo Anthony Celi (npj Digit. Medicine, 2020)

Learning to Address Intra-segment Misclassification in Retinal Imaging. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Hongxiang Lin; Joseph Jacob; Pearse A. Keane; Daniel C. Alexander (MICCAI (1), 2021)

Code-free deep learning for multi-modality medical image classification. - Edward Korot; Zeyu Guan; Daniel Ferraz; Siegfried K. Wagner; Gongyu Zhang; Xiaoxuan Liu; Livia Faes; Nikolas Pontikos; Samuel G. Finlayson; Hagar Khalid; Gabriella Moraes; Konstantinos Balaskas; et al. (Nat. Mach. Intell., 2021)

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Stefano B. Blumberg; An Zhao; Siegfried K. Wagner; Pearse A. Keane; Daniel C. Alexander (CoRR, 2022)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen 013; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting. - Jay Zoellin; Colin Merk; Mischa Buob; Amr Saad; Samuel Giesser; Tahm Spitznagel; Ferhat Turgut; Rui Santos; Yukun Zhou; Sigfried Wagner; Pearse A. Keane; Yih Chung Tham; et al. (CoRR, 2024)

CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Stefano B. Blumberg; An Zhao; Siegfried K. Wagner; Pearse A. Keane; Daniel C. Alexander (Medical Image Anal., 2024)

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. - Ariel Yuhan Ong; Priyal Taribagil; Mertcan Sevgi; Aditya U. Kale; Eliot R. Dow; Trystan Macdonald; Ashley Kras; Gregory Maniatopoulos; Xiaoxuan Liu; Pearse A. Keane; Alastair K. Denniston; Henry David Jeffry Hogg (npj Digit. Medicine, 2025)

Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales. - Zijie Cheng; Boxuan Li; André Altmann; Pearse A. Keane; Yukun Zhou (CoRR, 2025)

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? - Samantha Min Er Yew; Xiaofeng Lei; Jocelyn Hui Lin Goh; Yibing Chen; Sahana Srinivasan; Miao-li Chee; Krithi Pushpanathan; Ke Zou; Qingshan Hou; Zhi Da Soh; Cancan Xue; Marco Chak Yan Yu; et al. (CoRR, 2025)

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? - Qingshan Hou; Yukun Zhou; Jocelyn Hui Lin Goh; Ke Zou; Samantha Min Er Yew; Sahana Srinivasan; Meng Wang 001; Thaddaeus Wai Soon Lo; Xiaofeng Lei; Siegfried K. Wagner; Mark A. Chia; Dawei Yang; et al. (CoRR, 2025)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models. - Lie Ju; Sijin Zhou; Yukun Zhou; Huimin Lu 001; Zhuoting Zhu; Pearse A. Keane; Zongyuan Ge (CoRR, 2025)

Performance of GPT-5 Frontier Models in Ophthalmology Question Answering. - Fares Antaki; David Mikhail; Daniel Milad; Danny A Mammo; Sumit Sharma 005; Sunil K. Srivastava; Bing Yu Chen; Samir Touma; Mertcan Sevgi; Jonathan El-Khoury; Pearse A. Keane; Qingyu Chen 001; et al. (CoRR, 2025)

FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis. - Ke Zou; Jocelyn Hui Lin Goh; Yukun Zhou; Tian Lin; Samantha Min Er Yew; Sahana Srinivasan; Meng Wang 001; Rui Santos; Gábor Márk Somfai; Huazhu Fu; Haoyu Chen 002; Pearse A. Keane; et al. (CoRR, 2025)