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  1. 2025

  2. In-depth insights into the evolution of NiFeCrCu multicomponent alloy in the course of the catalytic growth of carbon nanofibers

    Bauman, Y. I., Komarovskikh, A. Y., Kenzhin, R. M., Volodin, A. M., Pervikov, A. V., Pustovalov, A. V., Shubin, Y. V., Plyusnin, P. E., Maksimova, T. A., Shelepova, E. V., Mishakov, I. V. & Vedyagin, A. A., 1 Nov 2025, In: Solid State Sciences. 169, p. 108086

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

  3. An Explanation Method for Semantic Segmentation Enhance Brain Tumor Classification

    Kenzhin, R., Luu, M. S. K., Pavlovskiy, E. & Tuchinov, B., 2025, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, p. 319-330 12 p. 23. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15406 LNCS).

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

  4. First Observation of Nickel Nitrides During the Interaction of NiCu Alloys with Melamine and g-C3N4 in a Closed Volume

    Кенжин, Р. М., Комаровских, А., Капишников, А. В., Афонникова, С. Д., Бауман, Ю., Мишаков, И. В., Володин, А. М. & Ведягин, А. А., 2025, In: Materials Letters. 383, 137976.

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

  5. 2024

  6. Transfer Learning Approaches for Brain Metastases Screenings

    Luu, M. S. K., Tuchinov, B. N., Suvorov, V., Kenzhin, R. M., Amelina, E. V. & Letyagin, A. Y., Nov 2024, In: Biomedicines. 12, 11, 2561.

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

  7. Трехмерная сейсмическая инверсия с использованием машинного обучения для восстановления плотности распределения трещин: апробация на реальных данных

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2024, In: Геофизика. 4, p. 25-31 7 p., 3.

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

  8. 2023

  9. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  10. Seismic Inversion for Fracture Model Reconstruction: From 1D Inversion to Machine Learning

    Protasov, M., Kenzhin, R., Dmitrachkov, D. & Pavlovskiy, E., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 99-109 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13957 LNCS).

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

  11. Восстановление модели трещин на основе машинного обучения и трехмерного свёрточного моделирования

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, In: Геофизика. 3, p. 58-63 6 p.

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

  12. 2022

  13. Comparative Study on Carbon Erosion of Nickel Alloys in the Presence of Organic Compounds under Various Reaction Conditions

    Volodin, A. M., Kenzhin, R. M., Bauman, Y. I., Afonnikova, S. D., Potylitsyna, A. R., Shubin, Y. V., Mishakov, I. V. & Vedyagin, A. A., 17 Dec 2022, In: Materials. 15, 24, 9033.

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

  14. Aluminothermic Synthesis of Dispersed Electrides Based on Mayenite: XRD and EPR Study

    Володин, А. М., Кенжин, Р. М., Капишников, А. В., Комаровских, А. & Ведягин, А. А., 16 Dec 2022, In: Materials. 15, 24, 8988.

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

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