Mikhail Kulyabin

Mikhail Kulyabin, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 09.158
Martensstr. 3
91058 Erlangen

Phone number: +49 9131 85-27826
Email: mikhail.kulyabin@fau.de

Academic CV

Since 01/2023:
Researcher at Pattern Recognition Lab
10/2019 – 09/2022:
Student at Friedrich-Alexander-Universität Erlangen-Nürnberg, Computational Engineering (Master of Science)
09/2012 – 06/2018:
Student at Bauman Moscow State Technical University, Mechanical Engineer (Engineer’s degree)

Projects

Artificial Intelligence for Diagnosing Retinal Diseases (AI D)

AI D will establish robust and reliable tools for early diagnosis of vision disorders involving the photoreceptors as the first neurons in the visual cascade. The emphasis will be on age-related macular degeneration and inherited retinal diseases such as retinitis pigmentosa and Stargard disease. AI D’s goal is to use novel imaging and physiological techniques to gain a new and crucial understanding of the mechanisms that lead to the development of a disease. Ultrahigh-resolution retina images will be obtained and combined with physiological data on the spatial distribution of photoreceptor and post-receptoral retinal signals, and extensive data will be used for novel deep learning algorithms.

Publications

2024

Journal Articles

Kulyabin M., Kremers J., Holbach V., Maier A., Huchzermeyer C.:
Artificial intelligence for detection of retinal toxicity in chloroquine and hydroxychloroquine therapy using multifocal electroretinogram waveforms
In: Scientific Reports 14 (2024), p. 24853
ISSN: 2045-2322
DOI: 10.1038/s41598-024-76943-4
BibTeX: Download
Kulyabin M., Zhdanov A., Pershin A., Sokolov G., Nikiforova A., Ronkin M., Borisov V., Maier A.:
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers
In: Bioengineering (2024), p. 13
ISSN: 2306-5354
DOI: 10.3390/bioengineering11090940
BibTeX: Download
Albasu FB., Kulyabin M., Zhdanov A., Dolganov A., Ronkin M., Borisov V., Dorosinsky L., Constable P., Al-masni M., Maier A.:
Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques
In: Bioengineering 11 (2024), Article No.: 866
ISSN: 2306-5354
DOI: 10.3390/bioengineering11090866
BibTeX: Download
Kulyabin M., Zhdanov A., Maier A., Loh L., Estevez JJ., Constable P.:
Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented Populations
In: Journal of Ophthalmology (2024), Article No.: 1990419
ISSN: 2090-004X
DOI: 10.1155/2024/1990419
URL: https://onlinelibrary.wiley.com/doi/10.1155/2024/1990419
BibTeX: Download
Kulyabin M., Constable P., Zhdanov A., Lee I., Thompson DA., Maier A.:
Attention to the Electroretinogram: Gated Multilayer Perceptron for ASD Classification
In: IEEE Access 12 (2024)
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3386638
URL: https://ieeexplore.ieee.org/abstract/document/10495056
BibTeX: Download
Kulyabin M., Zhdanov A., Nikiforova A., Stepichev A., Kuznetsova A., Ronkin M., Borisov V., Bogachev A., Korotkich S., Constable P., Maier A.:
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
In: Scientific Data (2024), Article No.: 365
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03182-7
URL: https://www.nature.com/articles/s41597-024-03182-7
BibTeX: Download

Conference Contributions

Kulyabin M., Sindel A., Pedersen H., Gilson S., Baraas R., Maier A.:
Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
27th International Conference on Pattern Recognition (Kolkata, India, December 1, 2024 - December 5, 2024)
In: Proceedings of the 27th International Conference on Pattern Recognition 2024 2024
URL: https://arxiv.org/abs/2408.14810
BibTeX: Download
Kulyabin M., Sokolov G., Galaida A., Maier A., Arias Vergara T.:
SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology
27th International Conference on Pattern Recognition (Kolkata, India, December 1, 2024 - December 5, 2024)
In: Proceedings of the 27th International Conference on Pattern Recognition 2024 2024
URL: https://arxiv.org/abs/2405.16115
BibTeX: Download

2023

Journal Articles

Kulyabin M., Zhdanov A., Dolganov A., Ronkin M., Borisov V., Maier A.:
Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer
In: Sensors (2023)
ISSN: 1424-8220
DOI: 10.3390/s23218727
BibTeX: Download
Kulyabin M., Zhdanov A., Dolganov A., Maier A.:
Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals
In: Sensors (2023)
ISSN: 1424-8220
DOI: 10.3390/s23135813
BibTeX: Download

Conference Contributions

Zhdanov A., Bulev D., Dolganov A., Kulyabin M.:
Comparative Analysis of Machine Learning Clustering Methods for Electroretinogram
International Conference on e-Health and Bioengineering (EHB) 2023 - 11th Edition (Bucharest, Romania, October 9, 2023 - October 10, 2023)
In: Hariton-Nicolae Costin, Ratko Magjarević, Gladiola Gabriela Petroiu (ed.): Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania 2023
DOI: 10.1007/978-3-031-62502-2_45
URL: https://link.springer.com/chapter/10.1007/978-3-031-62502-2_45
BibTeX: Download

Supervised Theses

Student	Title	Type	Start/end date	Status
Raj Sinha	Machine Learning approach for hiring demand forecasting in Large Scale Organizations	MA thesis	August 24, 2024 - February 24, 2025	running
Keshav Jha	Segmentation of OCT Biomarkers in Retinal Diseases using Deep Learning methods	MA thesis	June 17, 2024 - December 17, 2024	running
Prajol Shrestha	Automated Detection and Analysis of Photoreceptors in Retinal Imaging	MA thesis	June 10, 2024 - December 10, 2024	finished