Deep Learning‐Based Detection of Reticular Pseudodrusen in Age‐Related Macular Degeneration

We present a DL model for automatic detection of RPD with expert-level performance, which could be used to support the clinical management of AMD. This model has been made publicly available to facilitate future research to understand this critical, yet enigmatic, AMD phenotype.

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Publication Details

Journal
Clinical and Experimental Ophthalmology
Published
2025-09-08
DOI
https://doi.org/10.1111/ceo.14607
Citations
5
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
6.80
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article

Deep Learning‐Based Detection of Reticular Pseudodrusen in Age‐Related Macular Degeneration

Roy Schwartz, Brendan R. E. Ansell, Adnan Tufail, Himeesh Kumar et al.
5 citations
Clinical and Experimental Ophthalmology
Retinal Imaging and Analysis
6.80
article

Deep Learning‐Based Detection of Reticular Pseudodrusen in Age‐Related Macular Degeneration

Roy Schwartz, Brendan R. E. Ansell, Adnan Tufail, Himeesh Kumar, Yelena Bagdasarova, Amy Cohn, Aaron Lee, Xavier Hadoux, Doron G. Hickey, Alice Pébay, Erica L. Fletcher, Ruth Hogg, Robyn H. Guymer, Peter van Wijngaarden, Louis Arnould, Melanie Bahlo, Pierre‐Henry Gabrielle, Zhichao Wu, Mali Okada, Cecilia S. Lee, Jan Henrik Terheyden, Carla J. Abbott, Robert Patrick Finger, Maxime Jannaud, Lauren Hodgson, Emily Y. Chew, Scott Song
article en
5 citations

Abstract

We present a DL model for automatic detection of RPD with expert-level performance, which could be used to support the clinical management of AMD. This model has been made publicly available to facilitate future research to understand this critical, yet enigmatic, AMD phenotype.

Clinical and Experimental OphthalmologyVol. 54(1)
Queen's University Belfast (GB), The Royal Melbourne Hospital (AU), Moorfields Eye Hospital NHS Foundation Trust (GB), The University of Melbourne (AU), Université de Bourgogne (FR), Walter and Eliza Hall Institute of Medical Research (AU), University of Washington (US), Heidelberg University (DE), University Hospital Bonn (DE), University Hospital Heidelberg (DE), Centre for Eye Research Australia (AU), National Eye Institute (US), Maison des Sciences sociales et des Humanités de Dijon (FR), Moorfields Eye Hospital (GB), University Medical Centre Mannheim (DE), University College London (GB)
Openalex Percentile: Top 3%
Retinal Imaging and Analysis
6.80
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