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Publications in Math-Net.Ru
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A new processing algorithm for photoelasticity method data
Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2022, no. 79, 100–110
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Allocation of three brightness levels on a noisy image
Num. Meth. Prog., 21:2 (2020), 180–186
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Tomographic reconstruction of a region with a given density value
Num. Meth. Prog., 19:4 (2018), 516–521
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A new tomography method in the presence of an opaque object
Num. Meth. Prog., 18:2 (2017), 129–137
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Double-filtration algorithm for two-dimensional tomography
Matem. Mod., 21:8 (2009), 21–29
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Сравнение некоторых алгоритмов томографической реконструкции в конусе лучей
Sib. Zh. Ind. Mat., 11:3 (2008), 126–134
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Regularizing filtrating of projections for two-dimensional tomography algorithms
Sib. Zh. Vychisl. Mat., 11:2 (2008), 187–200
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Нелинейная пороговая очистка томограмм
Sib. Zh. Ind. Mat., 9:3 (2006), 102–110
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A comparison of algorithms for spiral tomography
Num. Meth. Prog., 5:1 (2004), 170–183
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Application of the Gerchberg-Papoulis method in Doppler tomography
Num. Meth. Prog., 5:1 (2004), 146–153
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Velocity measurements in a one-dimensional steady flow by methods of emission tomography
Prikl. Mekh. Tekh. Fiz., 44:2 (2003), 83–91
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A new method for deriving an unknown additive background in projection data in three-dimensional tomography
Zh. Vychisl. Mat. Mat. Fiz., 42:3 (2002), 357–369
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Subpixel smoothing in the algebraic algorithms of 3d-tomography
Matem. Mod., 11:8 (1999), 79–90
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Synthesized algorithm of three-dimensional tomography
Matem. Mod., 10:1 (1998), 73–85
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Three-dimensional tomography in gas flow diagnostics in the presence of an opaque body
Prikl. Mekh. Tekh. Fiz., 39:1 (1998), 174–180
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