Pearse A. Keane

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Retinal Fundus Images

Benchmark Datasets

Top Venues

npj Digit. Medicine

Medical Image Anal.

Publications

Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. Medical Image Anal. 93 (2024)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. CoRR (2022)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) (2021)
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
Code-free deep learning for multi-modality medical image classification. Nat. Mach. Intell. 3 (4) (2021)
Sotiris Nousias, Manolis I. A. Lourakis, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles
A Linear Approach to Absolute Pose Estimation for Light Fields. 3DV (2020)
Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. npj Digit. Medicine 3 (2020)
Adrian Gh. Podoleanu, Ramona Cernat, Adrian Bradu, Manuel Marques, Niels Møller Israelsen, Ole Bang, Sylvain Rivet, Pearse A. Keane, David Garway-Heath, Ranjan Rajendram
Gabor Fusion Master Slave Optical Coherence Tomography. ICTON (2019)
Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas
A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images. MIUA (2019)
Pearse A. Keane, Eric J. Topol
With an eye to AI and autonomous diagnosis. npj Digit. Medicine 1 (2018)
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
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR (2018)
Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee
Forecasting Future Humphrey Visual Fields Using Deep Learning. CoRR (2018)
Sotiris Nousias, François Chadebecq, Jonas Pichat, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles
Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras. ICCV (2017)
Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Christof Angermüller, Joe Ledsam, Reena Chopra, Pearse A. Keane, Greg Corrado, Lily Peng, Dale R. Webster
Deep learning for predicting refractive error from retinal fundus images. CoRR (2017)
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
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5 (2016)