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  1. Image-based analysis of quantitative morphological characteristics of wild potato tubers using the desktop application SeedСounter

    Ivanova, K. A., Komyshev, E. G., Genaev, M. A., Egorova, A. A., Koloshina, K. A., Chalaya, N. A., Afonnikov, D. A., Kochetov, A. V., Rogozina, E. V. & Gerasimova, S. V., 1 Jan 2019, In: Вавиловский журнал генетики и селекции. 23, 5, p. 519-526 8 p.

    Research output: Contribution to journal › Article › peer-review

  2. Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

    Artemenko, N. V., Genaev, M. A., Epifanov, R. U., Komyshev, E. G., Kruchinina, Y. V., Koval, V. S., Goncharov, N. P. & Afonnikov, D. A., 2023, In: Frontiers in Plant Science. 14, 16 p., 1336192.

    Research output: Contribution to journal › Article › peer-review

  3. Image-Based Quantitative Analysis of Epidermal Morphology in Wild Potato Leaves

    Zubairova, U. S., Fomin, I. N., Koloshina, K. A., Barchuk, A. I., Erst, T. V., Chalaya, N. A., Gerasimova, S. V. & Doroshkov, A. V., 1 Nov 2024, In: Plants. 13, 21, 14 p., 3084.

    Research output: Contribution to journal › Article › peer-review

  4. Image-based wheat fungi diseases identification by deep learning

    Genaev, M. A., Skolotneva, E. S., Gultyaeva, E. I., Orlova, E. A., Bechtold, N. P. & Afonnikov, D. A., Aug 2021, In: Plants. 10, 8, 1500.

    Research output: Contribution to journal › Article › peer-review

  5. Image Classification by Neural Network on Crossbars with Memristor Defects

    Tarkov, M. S. & Yatsko, E. A., 2022, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers Inc., p. 1380-1384 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Image Processing with Reservoir Neural Network

    Tarkov, M. S. & Ivanova, V. V., 2023, Studies in Computational Intelligence. Springer, p. 337-345 9 p. (Studies in Computational Intelligence; vol. 1120).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Imaging of Biomolecular NMR Signals Amplified by Reversible Exchange with Parahydrogen Inside an MRI Scanner

    Kovtunov, K. V., Kidd, B. E., Salnikov, O. G., Bales, L. B., Gemeinhardt, M. E., Gesiorski, J., Shchepin, R. V., Chekmenev, E. Y., Goodson, B. M. & Koptyug, I. V., 22 Nov 2017, In: Journal of Physical Chemistry C. 121, 46, p. 25994-25999 6 p.

    Research output: Contribution to journal › Article › peer-review

  8. Imaging quantum fluctuations near criticality

    Kremen, A., Khan, H., Loh, Y. L., Baturina, T. I., Trivedi, N., Frydman, A. & Kalisky, B., 1 Dec 2018, In: Nature Physics. 14, 12, p. 1205-1210 6 p.

    Research output: Contribution to journal › Article › peer-review

  9. I.M. Gubkin's paradigm of the development of the USSR oil industry in the 20th century

    Kontorovich, A. E., 1 Apr 2017, In: Russian Geology and Geophysics. 58, 3-4, p. 283-293 11 p.

    Research output: Contribution to journal › Article › peer-review

  10. Imidazoline and imidazolidine nitroxides as controlling agents in nitroxide-mediated pseudoliving radical polymerization

    Edeleva, M. V., Marque, S. R. A. & Bagryanskaya, E. G., 1 Jan 2018, In: Russian Chemical Reviews. 87, 4, p. 328-349 22 p.

    Research output: Contribution to journal › Article › peer-review

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