Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration

Holland, Robbie; Leingang, Oliver; Holmes, Christopher; Anders, Philipp; Kaye, Rebecca; Riedl, Sophie; Paetzold, Johannes C.; Ezhov, Ivan; Bogunović, Hrvoje; Schmidt-Erfurth, Ursula; Scholl, Hendrik P. N.; Sivaprasad, Sobha; Lotery, Andrew J.; Rueckert, Daniel; Menten, Martin J.

doi:10.1007/978-3-031-43990-2_68

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2024

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Cited by 4 publications

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Artificial intelligence for diagnosing exudative age-related macular degeneration

Kang,

Lo,

Zhang

et al. 2024

Cochrane Database of Systematic Reviews

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Artificial intelligence for diagnosing exudative age-related macular degeneration

Kang,

Lo,

Zhang

et al. 2024

Cochrane Database of Systematic Reviews

View full text Add to dashboard Cite

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Shen,

Menten,

Bogunović

et al. 2024

Lecture Notes in Computer Science

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A comprehensive review of artificial intelligence models for screening major retinal diseases

Hassan,

Raja,

Hassan

et al. 2024

Artif Intell Rev

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This paper provides a systematic survey of artificial intelligence (AI) models that have been proposed over the past decade to screen retinal diseases, which can cause severe visual impairments or even blindness. The paper covers both the clinical and technical perspectives of using AI models in hosipitals to aid ophthalmologists in promptly identifying retinal diseases in their early stages. Moreover, this paper also evaluates various methods for identifying structural abnormalities and diagnosing retinal diseases, and it identifies future research directions based on a critical analysis of the existing literature. This comprehensive study, which reviews both the conventional and state-of-the-art methods to screen retinopathy across different modalities, is unique in its scope. Additionally, this paper serves as a helpful guide for researchers who want to work in the field of retinal image analysis in the future.

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Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration

Cited by 4 publications

References 18 publications

Artificial intelligence for diagnosing exudative age-related macular degeneration

Artificial intelligence for diagnosing exudative age-related macular degeneration

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

A comprehensive review of artificial intelligence models for screening major retinal diseases

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