1. iOk Platform for Automated Object Detection and Analysis in Microscopy Images

    Kudinov, V. Y., Matveev, A. V., Nartova, A. V., Sankova, N. N., Belotserkovskii, V. A. & Okunev, A. G., 2023, Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers Inc., p. 1420-1423 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  2. iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts

    Nartova, A. V., Matveev, A. V., Mashukov, M. Y., Belotserkovskii, V. A., Sankova, N. N., Kudinov, V. Y. & Okunev, A. G., Aug 2023, In: Kinetics and Catalysis. 64, 4, p. 458-465 8 p.

    Research output: Contribution to journalArticlepeer-review

  3. Nanoparticle recognition on scanning probe microscopy images using computer vision and deep learning

    Okunev, A. G., Mashukov, M. Y., Nartova, A. V. & Matveev, A. V., 30 Jun 2020, In: Nanomaterials. 10, 7, p. 1-16 16 p., 1285.

    Research output: Contribution to journalArticlepeer-review

  4. New Pt/Alumina model catalysts for STM and in situ XPS studies

    Nartova, A. V., Gharachorlou, A., Bukhtiyarov, A. V., Kvon, R. I. & Bukhtiyarov, V. I., 15 Apr 2017, In: Applied Surface Science. 401, p. 341-347 7 p.

    Research output: Contribution to journalArticlepeer-review

  5. Nitrogen-doped alumina carrier for sintering resistant gold supported catalysts

    Nartova, A. V., Kvon, R. I., Makarov, E. M. & Bukhtiyarov, V. I., 1 Nov 2018, In: Mendeleev Communications. 28, 6, p. 601-602 2 p.

    Research output: Contribution to journalArticlepeer-review

  6. Nonequilibrium Nuclear Spin States of Ethylene during Acetylene Hydrogenation with Parahydrogen over Immobilized Iridium Complexes

    Skovpin, I. V., Sviyazov, S. V., Burueva, D. B., Kovtunova, L. M., Nartova, A. V., Kvon, R. I., Bukhtiyarov, V. I. & Koptyug, I. V., Oct 2023, In: Doklady Physical Chemistry. 512, 2, p. 149-157 9 p.

    Research output: Contribution to journalArticlepeer-review

  7. Particle Recognition on Transmission Electron Microscopy Images Using Computer Vision and Deep Learning for Catalytic Applications

    Nartova, A. V., Mashukov, M. Y., Astakhov, R. R., Kudinov, V. Y., Matveev, A. V. & Okunev, A. G., Feb 2022, In: Catalysts. 12, 2, 135.

    Research output: Contribution to journalArticlepeer-review

  8. Recognition of nanoparticles on scanning probe microscopy images using computer vision and deep machine learning

    Okunev, A. G., Nartova, A. V. & Matveev, A. V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 940-943 4 p. 8958363. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Synthesis of Chlorine- and Nitrogen-Containing Carbon Nanofibers for Water Purification from Chloroaromatic Compounds

    Ozerova, A. M., Potylitsyna, A. R., Bauman, Y. I., Tayban, E. S., Lipatnikova, I. L., Nartova, A. V., Vedyagin, A. A., Mishakov, I. V., Shubin, Y. V. & Netskina, O. V., Dec 2022, In: Materials. 15, 23, 8414.

    Research output: Contribution to journalArticlepeer-review

  10. Using Computer Vision and Deep Learning for Nanoparticle Recognition on Scanning Probe Microscopy Images: Modified U-net Approach

    Liz, M. F., Nartova, A. V., Matveev, A. V. & Okunev, A. G., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 13-16 4 p. 9303184. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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