Pearse A. Keane

According to our database, Pearse A. Keane authored at least 23 papers between 2016 and 2025.

Collaborative distances:

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

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, Rui Santos, Gábor Márk Somfai, Huazhu Fu, Haoyu Chen, Pearse A. Keane, Ching-Yu Cheng, Yih Chung Tham

CoRR, August, 2025

Performance of GPT-5 Frontier Models in Ophthalmology Question Answering.

Fares Antaki, David Mikhail, Daniel Milad, Danny A Mammo, Sumit Sharma, Sunil K. Srivastava, Bing Yu Chen, Samir Touma, Mertcan Sevgi, Jonathan El-Khoury, Pearse A. Keane, Qingyu Chen, Yih Chung Tham, Renaud Duval

CoRR, August, 2025

Delving into Out-of-Distribution Detection with Medical Vision-Language Models.

Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge

CoRR, March, 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, Thaddaeus Wai Soon Lo, Xiaofeng Lei, Siegfried K. Wagner, Mark A. Chia, Dawei Yang, Hongyang Jiang, Emma Anran Ran, Rui Santos, Gábor Márk Somfai, Juan Helen Zhou, Haoyu Chen, Qingyu Chen, Carol Yim-lui Cheung, Pearse A. Keane, Yih Chung Tham

CoRR, February, 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, Charumathi Sabanayagam, E. Shyong Tai, Xueling Sim, Yaxing Wang, Jost B. Jonas, Vinay Nangia, Gabriel Dawei Yang, Emma Anran Ran, Carol Yim-lui Cheung, Yangqin Feng, Jun Zhou, Rick Siow Mong Goh, Yukun Zhou, Pearse A. Keane, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham

CoRR, January, 2025

Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales.

Zijie Cheng, Boxuan Li, André Altmann, Pearse A. Keane, Yukun Zhou

CoRR, January, 2025

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

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

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, Delia Cabrera DeBuc, Matthias D. Becker, Gábor Márk Somfai

CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.

Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A. Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu

CoRR, 2024

2022

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

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, Alastair K. Denniston, Pearse A. Keane

Nat. Mach. Intell., 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

A Linear Approach to Absolute Pose Estimation for Light Fields.

Sotiris Nousias, Manolis I. A. Lourakis, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images.

Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

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

Proceedings of the 21st International Conference on Transparent Optical Networks, 2019

2018

With an eye to AI and autonomous diagnosis.

Pearse A. Keane, Eric J. Topol

npj Digit. Medicine, 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, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018

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

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

Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras.

Sotiris Nousias, François Chadebecq, Jonas Pichat, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

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, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise

F1000Research, 2016