Graduated (1991) from the S.P. Korolyov Samara State Aerospace University (SSAU). She received her PhD in Technical Sciences (1997). At present, she is a senior researcher at the Image Processing Systems Institute of the Russian Academy of Sciences, and holding a part-time position of Associate Professor at SSAU’s Technical
Cybernetics sub-department. The area of interests includes digital signals and image processing, pattern recognition and artificial intelligence, biomedical imaging and analysis. She’s list of publications contains more than 100 scientific papers, including 35 articles and 3 monographs published with coauthors.
N. S. Demin, N. Yu. Ilyasova, R. A. Paringer, D. V. Kirsh, “Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images”, Computer Optics, 47:5 (2023), 824–831
N. Yu. Ilyasova, D. V. Kirsh, N. S. Demin, “Decision-making support system for the personalization of retinal laser treatment in diabetic retinopathy”, Computer Optics, 46:5 (2022), 774–782
R. A. Paringer, A. V. Mukhin, N. Yu. Ilyasova, N. S. Demin, “Neural network application for semantic segmentation of fundus”, Computer Optics, 46:4 (2022), 596–602
A. D. Fida, A. V. Gaidel, N. S. Demin, N. Yu. Ilyasova, E. A. Zamytskiy, “Automated combination of optical coherence tomography images and fundus images”, Computer Optics, 45:5 (2021), 721–727
A. S. Shirokanev, N. A. Andriyanov, N. Yu. Ilyasova, “Development of vector algorithm using CUDA technology for three-dimensional retinal laser coagulation process modeling”, Computer Optics, 45:3 (2021), 427–437
A. S. Shirokanev, A. S. Kibitkina, N. Yu. Ilyasova, A. A. Degtyaryov, “Methods of mathematical modeling of fundus laser exposure for therapeutic effect evaluation”, Computer Optics, 44:5 (2020), 809–820
N. Yu. Ilyasova, N. S. Demin, A. S. Shirokanev, A. V. Kupriyanov, E. A. Zamytskiy, “Method for selection macular edema region using optical coherence tomography data”, Computer Optics, 44:2 (2020), 250–258
N. Yu. Ilyasova, A. S. Shirokanev, A. V. Kupriyanov, R. A. Paringer, “Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina”, Computer Optics, 43:2 (2019), 304–315
A. S. Shirokanev, D. V. Kirsh, N. Yu. Ilyasova, A. V. Kupriyanov, “Investigation of algorithms for coagulate arrangement in fundus images”, Computer Optics, 42:4 (2018), 712–721
P. A. Khorin, N. Yu. Ilyasova, R. A. Paringer, “Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea”, Computer Optics, 42:1 (2018), 159–166
N. Ilyasova, A. V. Kupriyanov, A. P. Rustam, “Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods”, Computer Optics, 38:4 (2014), 851–855
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N. Yu. Ilyasova, “Estimating the geometric features of a 3D vascular structure”, Computer Optics, 38:3 (2014), 529–538
2013
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N. Yu. Ilyasova, “Methods for digital analysis of human vascular system. Literature review”, Computer Optics, 37:4 (2013), 511–535
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