He is an associate Professor of the Technical Cybernetics subdepartment, Samara State Aerospace University and a senior Researcher of the Laboratory of Mathematical Methods of Image Processing, Image Processing Systems Institute. Currently, his main areas of research include digital signal and image processing; pattern recognition and artificial intelligence; biomedical imaging and analysis.
M. Boori, K. Choudhary, A. Kupriyanov, “Integrating landscape ecological risk with ecosystem services in the Republic of Tatarstan, Russia”, Computer Optics, 48:2 (2024), 282–293
M. Boori, K. Choudhary, R. A. Paringer, A. V. Kupriyanov, “Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework”, Computer Optics, 46:4 (2022), 634–642
V. V. Konevsky, A. V. Blagov, A. V. Gaidel, A. V. Kapishnikov, A. V. Kupriyanov, E. N. Surovtsev, D. G. Asatryan, “Improving the efficiency of brain MRI image analysis using feature selection”, Computer Optics, 46:4 (2022), 621–627
2021
4.
R. A. Paringer, A. V. Mukhin, A. V. Kupriyanov, “Formation of an informative index for recognizing specified objects in hyperspectral data”, Computer Optics, 45:6 (2021), 873–878
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
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
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
K. Choudhary, M. Boori, A. V. Kupriyanov, “A remote sensing and GIS based approach for land use/cover, inundation and vulnerability analysis in Moscow, Russia”, Computer Optics, 43:1 (2019), 90–98
M. Boori, R. A. Paringer, K. Choudhary, A. V. Kupriyanov, “Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performanc”, Computer Optics, 42:6 (2018), 1035–1045
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
N. S. Kravtsova, R. A. Paringer, A. V. Kupriyanov, “Parallel implementation of the informative areas generation method in the spatial spectrum domain”, Computer Optics, 41:4 (2017), 585–587
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
M.S. Boori, A. V. Kuznetsov, K. Ê. Choudhary, A. V. Kupriyanov, “Satellite image analysis to evaluate the urban growth and land use changes in the city of Samara from 1975 to 2015”, Computer Optics, 39:5 (2015), 818–822
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
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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