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DIFFRACTIVE OPTICS, OPTICAL TECHNOLOGIES
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Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography
S. I. Samarin, A. B. Konovalov, V. V. Vlasov, I. D. Solov'ev, A. P. Savitsky, V. V. Tuchin
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673 |
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Gradient method for designing cascaded DOEs and its application in the problem of classifying handwritten digits
D. V. Soshnikov, L. L. Doskolovich, E. V. Byzov
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691 |
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Six-wave interaction with double wavefront reversal in multimode waveguides with Kerr and thermal nonlinearities
V. V. Ivakhnik, D. R. Kapizov, V. I. Nikonov
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702 |
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High-order optical Hall effect at the tight focus of laser radiation
V. V. Kotlyar, S. S. Stafeev, E. S. Kozlova
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710 |
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Color imaging using a system based on 3 diffractive lenses
S. O. Stepanenko, V. V. Evdokimova, M. V. Petrov, R. V. Skidanov, A. V. Nikonorov
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716 |
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Computer simulation of diffractive imaging lenses using hyperspectral images
S. I. Kharitonov, V. A. Fursov
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725 |
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Calculation of the intensity at the sharp focus of a cylindrical vector beam by three methods
A. G. Nalimov, V. V. Kotlyar, Yu. V. Khanenko
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734 |
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Investigation of polarization transformations performed with a refractive bi-conical axicon using the FDTD method
P. A. Khorin, A. M. Algubili, S. A. Degtyarev, S. K. Sergunin, S. V. Karpeev, S. N. Khonina
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742 |
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Method of multilayer object sectioning based on a light scattering model
S. D. Bazhitov, A. V. Larichev, A. V. Razgulin, T. E. Romanenko
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751 |
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Performance evaluation of underwater vision systems
V. Ya. Kolyuchkin, N. M. Kostylev, Yu. S. Gulina
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761 |
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IMAGE PROCESSING, PATTERN RECOGNITION
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov, K. M. Sherman, Yu. N. Sinyavskiy, A. A. Tulupov, V. B. Berikov
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770–777 |
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Generation and study of the synthetic brain electron microscopy dataset for segmentation purpose
N. A. Sokolov, E. P. Vasiliev, A. A. Getmanskaya
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778–787 |
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Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7
R. Chang, Z. X. Mao, J. Hu, H. C. Bai, C. J. Zhou, Y. Yang, S. Gao
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788–794 |
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Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images
N. A. Firsov, V. V. Podlipnov, N. A. Ivliev, D. D. Ryskova, A. V. Pirogov, A. A. Muzyka, A. R. Makarov, V. E. Lobanov, V. I. Platonov, A. N. Babichev, V. A. Monastyrsky, V. I. Olgarenko, P. Nikolaev, R. V. Skidanov, A. V. Nikonorov, N. L. Kazanskii, V. A. Soifer
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795–805 |
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Facial expression recognition based on adaptation of the classifier to videos of the user
E. N. Churaev, A. V. Savchenko
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806–815 |
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Nonparametric estimation of the number of classes with different average
brightness in thermal images
A. N. Galyantich, M. A. Raifeld
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816–823 |
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NUMERICAL METHODS AND DATA ANALYSIS
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Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images
N. S. Demin, N. Yu. Ilyasova, R. A. Paringer, D. V. Kirsh
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824–831 |
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Recognition of biosignals with nonlinear properties by approximate entropy parameters
L. A. Manilo, A. P. Nemirko
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832–840 |
