136 citations · 152 across the 9 of their papers we have counts for
10 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…
How to Build AI Agents by Augmenting LLMs with Codified Human Expert Domain Knowledge? A Software Engineering Framework
Choro Ulan uulu, Mikhail Kulyabin, Iris Fuhrmann +6
Critical domain knowledge typically resides with few experts, creating organizational bottlenecks in scalability and decision-making. Non-experts struggle to create effective visua…
Tables or Sankey Diagrams? Investigating User Interaction with Different Representations of Simulation Parameters
Choro Ulan uulu, Mikhail Kulyabin, Katharina M Zeiner +6
Understanding complex parameter dependencies is critical for effective configuration and maintenance of software systems across diverse domains - from Computer-Aided Engineering (C…
User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Mikhail Kulyabin, Jan Joosten, Choro Ulan uulu +5
Customer feedback in industrial forums offers rich but underexplored insights into real-world product experience. Yet systematic analysis remains challenging due to unstructured, d…
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…
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…