Mikhail Kulyabin

According to our database, Mikhail Kulyabin authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.

Mikhail Kulyabin, Aleksei E. Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Vasilii I. Borisov, Mikhail Ronkin, Alexander Bogachev, Sergey Korotkich, Andreas Maier

Dataset, March, 2024

Attention to the Electroretinogram: Gated Multilayer Perceptron for ASD Classification.

Mikhail Kulyabin, Paul A. Constable, Aleksei E. Zhdanov, Irene O. Lee, Dorothy A. Thompson, Andreas K. Maier

IEEE Access, 2024

2023

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.

Mikhail Kulyabin, Aleksei E. Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Vasilii I. Borisov, Mikhail Ronkin, Alexander Bogachev, Sergey Korotkich, Andreas Maier

Dataset, December, 2023

Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer.

Mikhail Kulyabin, Aleksei E. Zhdanov, Anton Yu. Dolganov, Mikhail Ronkin, Vasilii I. Borisov, Andreas K. Maier

Sensors, October, 2023

Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.

Mikhail Kulyabin, Aleksei E. Zhdanov, Anton Yu. Dolganov, Andreas Maier

Sensors, July, 2023

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.

Mikhail Kulyabin, Aleksei E. Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Mikhail Ronkin, Vasilii I. Borisov, Alexander Bogachev, Sergey Korotkich, Paul A. Constable, Andreas K. Maier

CoRR, 2023