136 citations · 152 across the 9 of their papers we have counts for
5 papers · 1 filter
Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging
Prajol Shrestha, Mikhail Kulyabin, Aline Sindel +4
Accurate detection and segmentation of cone cells in the retina are essential for diagnosing and managing retinal diseases. In this study, we used advanced imaging techniques, incl…
Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
Mikhail Kulyabin, Aline Sindel, Hilde Pedersen +3
Analyzing the cone photoreceptor pattern in images obtained from the living human retina using quantitative methods can be crucial for the early detection and management of various…
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…
SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology
Mikhail Kulyabin, Gleb Sokolov, Aleksandr Galaida +2
The extraction and analysis of insights from medical data, primarily stored in free-text formats by healthcare workers, presents significant challenges due to its unstructured natu…
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…