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Aleksei Zhdanov

Showing results (1-10 of 11) with videos related to

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Sensors (Basel, Switzerland)|July 14, 2023
Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram SignalsMikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, et al.
Sensors (Basel, Switzerland)|November 14, 2023
Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual TransformerMikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, et al.
Journal of Ophthalmology|July 24, 2024
Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented PopulationsMikhail Kulyabin, Aleksei Zhdanov, Andreas Maier, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet TransformsAleksei Zhdanov, Paul Constable, Sultan Mohammad Manjur, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal BiomarkersMikhail Kulyabin, Aleksei Zhdanov, Andrey Pershin, et al.
Documenta Ophthalmologica. Advances in Ophthalmology|April 16, 2025
Synthetic electroretinogram signal generation using a conditional generative adversarial networkMikhail Kulyabin, Aleksei Zhdanov, Irene O Lee, et al.
BMC Research Notes|January 24, 2025
Remodeling the light-adapted electroretinogram using a bayesian statistical approachMarek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, et al.
Scientific Data|April 11, 2024
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning MethodsMikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning TechniquesFaisal Albasu, Mikhail Kulyabin, Aleksei Zhdanov, et al.
Bioengineering (Basel, Switzerland)|September 27, 2025
Time Series Classification of Autism Spectrum Disorder Using the Light-Adapted ElectroretinogramSergey Chistiakov, Anton Dolganov, Paul A Constable, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|July 14, 2023
Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram SignalsMikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, et al.
Sensors (Basel, Switzerland)|November 14, 2023
Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual TransformerMikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, et al.
Journal of Ophthalmology|July 24, 2024
Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented PopulationsMikhail Kulyabin, Aleksei Zhdanov, Andreas Maier, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet TransformsAleksei Zhdanov, Paul Constable, Sultan Mohammad Manjur, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal BiomarkersMikhail Kulyabin, Aleksei Zhdanov, Andrey Pershin, et al.
Documenta Ophthalmologica. Advances in Ophthalmology|April 16, 2025
Synthetic electroretinogram signal generation using a conditional generative adversarial networkMikhail Kulyabin, Aleksei Zhdanov, Irene O Lee, et al.
BMC Research Notes|January 24, 2025
Remodeling the light-adapted electroretinogram using a bayesian statistical approachMarek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, et al.
Scientific Data|April 11, 2024
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning MethodsMikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning TechniquesFaisal Albasu, Mikhail Kulyabin, Aleksei Zhdanov, et al.
Bioengineering (Basel, Switzerland)|September 27, 2025
Time Series Classification of Autism Spectrum Disorder Using the Light-Adapted ElectroretinogramSergey Chistiakov, Anton Dolganov, Paul A Constable, et al.
Pageof 2