Pearse A. Keane

According to our database, Pearse A. Keane authored at least 13 papers between 2016 and 2022.

Collaborative distances:

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

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