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  1. 2023

  2. Программный модуль для диагностики опухолей головного мозга на МРТ-изображениях

    Тучинов, Б. Н., Летягин, А. Ю., Амелина, Е. В., Амелин, М. Е., Павловский, Е. & Голушко, С. К., 2023, In: Digital Diagnostics. 4, 1S, p. 138-140 3 p., 43.

    Research output: Contribution to journal › Conference article › peer-review

  3. 2024

  4. Computer Vision and Explainable Approaches for Chest Tuberculosis Screenings

    Benedichuk, M., Bashkova, P. & Tuchinov, B., 2024, Proceedings of the IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024. Institute of Electrical and Electronics Engineers Inc., p. 820-823 4 p.

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

  5. Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

    Li, H., Yakovenko, S., Ivashchenko, V., Lukyanov, A., Mullyadzhanov, R. & Tokarev, M., 2024, In: Physics of Fluids. 36, 2

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

  6. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

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

  7. In situ reflection electron microscopy for the surface processes analysis during sublimation and epitaxial growth of layered metal chalcogenides

    Ponomarev, S. A., Rogilo, D. I., Zakhozhev, K. E., Nasimov, D. A., Kurus, N. N., Gutakovskii, A. K., Kokh, K. A., Milekhin, A. G., Sheglov, D. V. & Latyshev, A. V., 2024, In: Modern Electronic Materials. 10, 4, p. 251-261 11 p.

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

  8. Interpretation models for data of metal-oxide gas sensors based on machine learning methods

    Kozmin, A. D. & Redyuk, A. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 4-23 20 p.

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

  9. Multi-GHz repetition-rate pulse generation by gain instability in a semiconductor-based all-fiber laser

    Ivanenko, A. V., Bednyakova, A. E., Smirnov, S. V. & Nyushkov, B. N., 2024, 2024 International Conference Laser Optics, ICLO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 601 (2024 International Conference Laser Optics, ICLO 2024 - Proceedings).

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

  10. SOA-based reservoir computing

    Bednyakova, A., Manuylovich, E., Ivoilov, D. A., Terekhov, I. S. & Turitsyn, S. K., 2024, 2024 International Conference Laser Optics, ICLO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 279 1 p. (2024 International Conference Laser Optics, ICLO 2024 - Proceedings).

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

  11. Искусственный интеллект в технологиях сегментации и классификации нейроонкологических очагов

    Летягин, А. Ю., Тучинов, Б. Н., Амелина, Е. В., Павловский, Е. Н., Голушко, С. К., Амелин, М. Е. & Рзаев, Д. А., 2024, In: Сибирский научный медицинский журнал. 44, 1, p. 32-38 7 p., 4.

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

  12. Компенсация нелинейных искажений в системах оптической связи методами теории возмущений и многопараметрической оптимизации

    Редюк, А. А., Шевелев, Е. И., Данилко, В. Р. & Федорук, М. П., 2024, In: Квантовая электроника. 54, 3, p. 151-156 6 p., 4.

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

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