Back to search

Article

Can Demographic Information Be Reduced in Retinal Fundus Images While Preserving Glaucoma-Relevant Features?

2026-06-25

Abstract excerpt

<h4>Purpose</h4> To determine whether disease-aware adversarial perturbations can reduce demographic recoverability encoded in color fundus photographs (CFPs) while preserving glaucoma-related diagnostic features. <h4>Design</h4> Retrospective analysis of a single-institution retinal imaging dataset using adversarial machine-learning experiments. <h4>Participants</h4> A total of 4,271 patients contributing 13,9...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4d5d553c-8fa7-5c65-add4-64b5b164bdc9
DOI
10.64898/2026.06.23.26356379
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Can Demographic Information Be Reduced in Retinal Fundus Images While Preserving Glaucoma-Relevant Features?DOI 10.64898/2026.06.23.26356379
Longitudinal Forecasting of Retinal Structure and Function Using a Multimodal StyleGAN-Based ArchitectureSemantic proximity
Unpaired fundus image enhancement based on constrained generative adversarial networksSemantic proximity
Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case StudySemantic proximity
Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case StudySemantic proximity
Enhancing Glaucoma Detection through Supervised Pre-training with Intermediate Phenotypes: A Multi-Institutional StudySemantic proximity
Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 ApproachSemantic proximity
Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks With Transfer LearningSemantic proximity
CausalFund: Causality-Inspired Domain Generalization in Retinal Fundus Imaging for Low-Resource ScreeningSemantic proximity
FORGE: Functionally-guided OCT Representation for Glaucoma EndophenotypingSemantic proximity
From Blurry to Brilliant: HAGAN, a Hybrid Attention GAN for Remote OCT Image EnhancementSemantic proximity
Glaucoma Detection Using Deep Learning and Prompt-Based Explainable Report GenerationSemantic proximity
Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles InitiativeSemantic proximity
Select a neighboring publication to make it the new centre.