136 citations · 150 across the 4 of their papers we have counts for
4 papers
Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals
Paul A. Constable, Dorothy A. Thompson, Irene O. Lee +4
The LEOPs (Light-ERG-Oscillatory Potentials) dataset provides light-adapted (LA) electroretinogram (ERG) and Oscillatory Potentials (OPs) waveforms for typically developing Control…
Synthetic Electroretinogram Signal Generation Using Conditional Generative Adversarial Network for Enhancing Classification of Autism Spectrum Disorder
Mikhail Kulyabin, Paul A. Constable, Aleksei Zhdanov +4
The electroretinogram (ERG) is a clinical test that records the retina's electrical response to light. The ERG is a promising way to study different neurodevelopmental and neurodeg…
Generating synthetic light-adapted electroretinogram waveforms using Artificial Intelligence to improve classification of retinal conditions in under-represented populations
Mikhail Kulyabin, Aleksei Zhdanov, Andreas Maier +3
Visual electrophysiology is often used clinically to determine functional changes associated with retinal or neurological conditions. The full-field flash electroretinogram (ERG) a…
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova +8
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, p…