Biography |
Graduated (2015) with a bachelor’s degree in Applied Mathematics and Informatics. At present he is a student of MA course at Samara University. The area of interests includes digital image processing, mathematical modeling, numerical analysis and identification methods of crystal lattices.
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Publications in Math-Net.Ru |
Citations |
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2021 |
| 1. |
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  |
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2020 |
| 2. |
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 |
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| 3. |
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 |
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2019 |
| 4. |
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 |
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| 5. |
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 |
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2018 |
| 6. |
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 |
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2017 |
| 7. |
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 |
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