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Publications in Math-Net.Ru |
Citations |
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2023 |
1. |
N. S. Davydov, V. V. Evdokimova, P. G. Serafimovich, V. I. Protsenko, A. G. Khramov, A. V. Nikonorov, “Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation”, Computer Optics, 47:6 (2023), 991–1001 |
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2. |
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, “Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images”, Computer Optics, 47:5 (2023), 795–805 |
3. |
S. O. Stepanenko, V. V. Evdokimova, M. V. Petrov, R. V. Skidanov, A. V. Nikonorov, “Color imaging using a system based on 3 diffractive lenses”, Computer Optics, 47:5 (2023), 716–724 |
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4. |
M. A. Pavlova, V. A. Timofeev, D. A. Bocharov, D. S. Sidorchuk, A. L. Nurmukhametov, A. V. Nikonorov, M. S. Yarykina, I. A. Kunina, A. A. Smagina, M. A. Zagarev, “Low-parameter method for delineation of agricultural fields in satellite images based on multi-temporal MSAVI2 data”, Computer Optics, 47:3 (2023), 451–463 |
5. |
J. D. Agafonova, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Kuznetsov, E. N. Surovtsev, A. V. Nikonorov, “Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions”, Computer Optics, 47:1 (2023), 152–159 |
6. |
S. A. Bibikov, M. V. Petrov, A. P. Alekseev, M. V. Aliev, R. A. Paringer, E. V. Goshin, P. G. Serafimovich, A. V. Nikonorov, “Color consistency method for cameras with unknown model”, Computer Optics, 47:1 (2023), 92–101 |
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2021 |
7. |
N. A. Firsov, V. V. Podlipnov, N. A. Ivliev, P. Nikolaev, S. V. Mashkov, P. A. Ishkin, R. V. Skidanov, A. V. Nikonorov, “Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index”, Computer Optics, 45:6 (2021), 887–896 |
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8. |
A. A. Sludnova, V. V. Shutko, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Nikonorov, “Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images”, Computer Optics, 45:2 (2021), 261–266 |
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9. |
V. V. Evdokimova, M. V. Petrov, M. A. Klyueva, E. Yu. Zybin, V.V. Kosianchuk, I. B. Mishchenko, V. M. Novikov, N. I. Sel'vesyuk, E. I. Ershov, N. A. Ivliev, R. V. Skidanov, N. L. Kazanskiy, A. V. Nikonorov, “Deep learning-based video stream reconstruction in mass-production diffractive optical systems”, Computer Optics, 45:1 (2021), 130–141 |
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2020 |
10. |
T. A. Pashina, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Nikonorov, “Automatic highlighting of the region of interest in computed tomography images of the lungs”, Computer Optics, 44:1 (2020), 74–81 |
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2017 |
11. |
N. A. Smelkina, R. N. Kosarev, A. V. Nikonorov, I. M. Bairikov, K. N. Ryabov, E. V. Avdeev, N. L. Kazanskiy, “Reconstruction of anatomical structures using statistical shape modeling”, Computer Optics, 41:6 (2017), 897–904 |
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12. |
A. V. Nikonorov, M. V. Petrov, S. A. Bibikov, V. V. Kutikova, A. A. Morozov, N. L. Kazanskiy, “Image restoration in diffractive optical systems using deep learning and deconvolution”, Computer Optics, 41:6 (2017), 875–887 |
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2014 |
13. |
A. V. Nikonorov, “Spectrum shape elements model for correction of multichannel images”, Computer Optics, 38:2 (2014), 304–313 |
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2010 |
14. |
A. V. Nikonorov, M. G. Milyutkin, V. A. Fursov, “Parallel implementation of 2D IIR-filters using image processing
distributed systems”, Num. Meth. Prog., 11:1 (2010), 88–94 |
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