Has a Master’s degree in applied mathematics and computer science; currently he is a postgraduate student at the Technical Cybernetics Department, Samara State Aerospace University and a trainee researcher at the Laboratory of Mathematical Methods of Image Processing, Image Processing Systems Institute of the RAS. Currently, his main areas of research include digital image processing; crystal lattice comparison methods; classification of crystal lattices.
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
2022
2.
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
D. V. Kirsh, A. S. Shirokanev, A. V. Kupriyanov, “Algorithm of reconstruction of a three-dimensional crystal structure from two-dimensional projections”, Computer Optics, 43:2 (2019), 324–331
I. A. Rytsarev, D. V. Kirsh, A. V. Kupriyanov, “Clustering of media content from social networks using bigdata technology”, Computer Optics, 42:5 (2018), 921–927
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
A. S. Shirokanev, D. V. Kirsh, A. V. Kupriyanov, “Research of an algorithm for crystal lattice parameter identification based on the gradient steepest descent method”, Computer Optics, 41:3 (2017), 453–460
O. P. Soldatova, l. A. Lyozin, I. V. Lyozina, A. V. Kupriyanov, D. V. Kirsh, “Application of fuzzy neural networks for defining crystal lattice types in nanoscale images”, Computer Optics, 39:5 (2015), 787–794
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