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The retinalbiomarkers group uses the electroretinogram and retinal imaging methods to explore functional and structural retinal biomarkers for neurological and vascular conditions.

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The Retinal Biomarkers Group

Australia

Paul Constable

Lynne Loh

Fernando Marmolejo-Ramos

Natalie Mills

Mallika Prem Senthil

Europe

Mikhail Kulyabin

Aleksei Zhadanov

Marek Brabec

Nadja Klein

United States

Hugo Posada-Quintero

Sultan Mohammed Manjur

Luis Roberto Mercado Diaz

United Kingdom

Irene Lee

David Skuse

Dorothy Thompson

Colombia

Nicolas Cordoba

Samuel Alejandro Daza Rodriguez

Retinal Biomarkers Group

We are and International network of clinicians, visual electrophysiologists, bioengineers and statisticians applying signal analysis and machine learning to identify retinal biomarkers for neurodevelopmental disorders.

Recent Media

gated multilayer perceptrons

2 Flash strength classification model

Podcast #157: AI and Eye Signals Revolutionize Diagnosis: Autism Weekly

Latest Publications

Kulyabin, M, Zhdanov, A, Maier, A, Loh, Estevez, JJ., Constable, Paul A., Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented Populations, Journal of Ophthalmology, 2024, 1990419, 10 pages, 2024.

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Kulyabin, M., Zhdanov, A., Nikiforova, A., Stepichev, A., Kuznetsova, A., Ronkin, M., Borisov, V., Bogachev, A., Korotkich, S., Constable, P. A., & Maier, A. (2024). OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods. Scientific Data, 11(1), 365.

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