Логотип УУНиТ

Уфимский университет науки и технологий
Приоритет 2030
Передовая инженерная школа

Публикации

Меню

Научные публикации членов коллектива лаборатории с 2021-2023 гг.

  1. Butt, M. A., Kazanskiy, N. L., Khonina, S. N., Voronkov, G. S., Grakhova, E. P., & Kutluyarov, R. V. (2023). A Review on Photonic Sensing Technologies: Status and Outlook. Biosensors, 13(5), 568.
  2. Khonina, S. N., Voronkov, G. S., Grakhova, E. P., Kazanskiy, N. L., Kutluyarov, R. V., & Butt, M. A. (2023). Polymer Waveguide-Based Optical Sensors—Interest in Bio, Gas, Temperature, and Mechanical Sensing Applications. Coatings, 13(3), 549.
  3. Lopukhova, E. A., Ibragimova, R. R., Idrisova, G. M., Lakman, I. A., Mukhamadeev, T. R., Grakhova, E. P., ... & Kutluyarov, R. V. (2023). Machine Learning Algorithms for the Analysis of Age-Related Macular Degeneration Based on Optical Coherence Tomography: a Systematic Review. Journal of Biomedical Photonics & Engineering, 020202.
  4. Kovtunenko, A., Bilyalov, A., Bakirova, L., Topolskii, N., Voronkov, G., Grakhova, E., & Kutluyarov, R. (2022, December). Methods to increase the Raman spectroscopy efficiency in multimodal diagnostic systems. In Proceedings of the 6th International Conference on Future Networks & Distributed Systems (pp. 667-671).
  5. Pisarkova, V., Lopukhova, E., Yamileva, A., Kovtunenko, A., Voronkov, G., Grakhova, E., ... & Bilyalov, A. (2022, December). Machine learning methods for medical diagnostics based on a multimodal approach: a brief review. In Proceedings of the 6th International Conference on Future Networks & Distributed Systems (pp. 679-683).
  6. Lakman, I. A., Mustafina, I. A., Zagidullin, N. S., Sladkov, R. I., & Ronzhin, R. P. (2023, October). Detection of lipid and fibrous plaques in optical coherence tomography images using deep learning. In Optical Technologies for Telecommunications 2022 (Vol. 12743, pp. 294-299). SPIE.
  7. Stepanov, I. V., Talynev, E. A., Kutluyarov, R. V., Ivanov, A. A., & Grakhova, E. P. (2023, October). 4-channel SS-OCT system design based on the silicon photonics chip with a high-scale integration. In Optical Technologies for Telecommunications 2022 (Vol. 12743, pp. 142-148). SPIE.
  8. Lopukhova, E. A., Ibragimova, R. R., Gruzdev, V. G., Gilmanov, I. I., Kutluyarov, R. V., & Mukhamadeev, T. R. (2023, October). Comparison of deep learning approaches for OCT diagnostics of age-related macular degeneration. In Optical Technologies for Telecommunications 2022 (Vol. 12743, pp. 250-256). SPIE.
  9. Grakhova, E. P., Stepanov, I. V., Talynev, E. A., Ivanov, A. A., Voronkov, G. S., & Kutluyarov, R. V. (2023, October). Swept-Source Optical Coherence Tomography System with an On-Chip K-Clock Based on Silicon Photonics. In 2023 International Conference on Electrical Engineering and Photonics (EExPolytech) (pp. 366-369). IEEE.
  10. Zakoyan, A. G., Aleksakina, Y. V., Ivanov, V. V., Grakhova, E. P., & Voronkov, G. S. (2023, October). Influence of manufacturing accuracy on the PIC-based MRR sensors characteristics. In Optical Technologies for Telecommunications 2022 (Vol. 12743, pp. 122-127). SPIE.
  11. Ivanov, V. V., Voronkov, G. S., Zakoyan, A. G., Aleksakina, Y. V., Kutluyarov, R. V., & Grakhova, E. P. (2023, June). Downconversion Circuit in Photonic Integrated Sensing System Based on an Optoelectronic Oscillator. In 2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM) (pp. 840-843). IEEE.
  12. ЧАЩИН, В., АСКАРОВ, Р., АСКАРОВА, З., ФРАНЦ, М., ЛАКМАН, И., РАХМАТУЛЛИН, Р., & УТЯШЕВА, И. (2023). ОЦЕНКА ПОТЕРЯННЫХ ЛЕТ ПОТЕНЦИАЛЬНОЙ ЖИЗНИ НАСЕЛЕНИЯ РЕСПУБЛИКИ БАШКОРТОСТАН ЗА 2000-2020 ГГ. ПРОФИЛАКТИЧЕСКАЯ МЕДИЦИНА Учредители: Национальный медицинский исследовательский центр терапии и профилактической медицины, ООО" Издательство" Медиа Сфера", 26(2), 41-49.
  13. Butt, M.A.; Kazanskiy, N.L.; Khonina, S.N.; Voronkov, G.S.; Grakhova, E.P.; Kutluyarov, R.V. A Review on Photonic Sensing Technologies: Status and Outlook. Biosensors 2023, 13, 568. https://doi.org/10.3390/bios13050568
  14. Alexey Kovtunenko, Azat Bilyalov, Liaisan Bakirova, Nikita Topolskii, Grigory Voronkov, Elizaveta Grakhova, and Ruslan Kutluyarov. 2023. Methods to increase the Raman spectroscopy efficiency in multimodal diagnostic systems. In Proceedings of the 6th International Conference on Future Networks & Distributed Systems (ICFNDS '22). Association for Computing Machinery, New York, NY, USA, 667–671. https://doi.org/10.1145/3584202.3584303
  15. Khonina, S.N.; Voronkov, G.S.; Grakhova, E.P.; Kazanskiy, N.L.; Kutluyarov, R.V.; Butt, M.A. Polymer Waveguide-Based Optical Sensors—Interest in Bio, Gas, Temperature, and Mechanical Sensing Applications. Coatings 2023, 13, 549. https://doi.org/10.3390/coatings13030549
  16. Valeria Pisarkova, Ekaterina Lopukhova, Alfiya Yamileva, Alexey Kovtunenko, Grigory Voronkov, Elizaveta Grakhova, Ruslan Kutluyarov, and Azat Bilyalov. 2023. Machine learning methods for medical diagnostics based on a multimodal approach: a brief review. In Proceedings of the 6th International Conference on Future Networks & Distributed Systems (ICFNDS '22). Association for Computing Machinery, New York, NY, USA, 679–683. https://doi.org/10.1145/3584202.3584305
  17. Lopukhova, Ekaterina A. et al. Machine Learning Algorithms for the Analysis of Age-Related Macular Degeneration Based on Optical Coherence Tomography: a Systematic Review. Journal of Biomedical Photonics & Engineering, [S.l.], v. 9, n. 2, p. 020202, apr. 2023. ISSN 2411-2844. Available at: Date accessed: 31 aug. 2023. http://dx.doi.org/10.18287/JBPE23.09.020202.
  18. Butt, M.A.; Voronkov, G.S.; Grakhova, E.P.; Kutluyarov, R.V.; Kazanskiy, N.L.; Khonina, S.N. Environmental Monitoring: A Comprehensive Review on Optical Waveguide and Fiber-Based Sensors. Biosensors 2022, 12, 1038, Q1 (https://doi.org/10.3390/bios12111038)
  19. Voronkov, G.S.; Aleksakina, Y.V.; Ivanov, V.V.; Zakoyan, A.G.; Stepanov, I.V.; Grakhova, E.P.; Butt, M.A.; Kutluyarov, R.V. Enhancing the Performance of the Photonic Integrated Sensing System by Applying Frequency Interrogation. Nanomaterials 2023, 13, 193. Q1 (https://doi.org/10.3390/nano13010193)
  20. Voronkov, G.; Zakoyan, A.; Ivanov, V.; Iraev, D.; Stepanov, I.; Yuldashev, R.; Grakhova, E.; Lyubopytov, V.; Morozov, O.; Kutluyarov, R. Design and Modeling of a Fully Integrated Microring-Based Photonic Sensing System for Liquid Refractometry. Sensors 2022, 22, 9553, Q1 (https://doi.org/10.3390/s22239553)
  21. Ибрагимова, Р. Р., Гильманов, И. И., Лопухова, Е. А., Лакман, И. А., Билялов, А. Р., Мухамадеев, Т. Р. и др. Алгоритм сегментации ОКТ изображений макулы для анализа пациентов с возрастной макулярной дегенерацией // Вестник РГМУ. 2022. №6. С. 89–96. DOI: 10.24075/vrgmu.2022.062
  22. Irina Vinogradova, Aydar Salikhov, Sultanov A. Ch, et al. Instrumental mode distribution measurement, Proc. SPIE 12295, Optical Technologies for Telecommunications 2022, 1229514 2022 0277-786X 1996-756X (electronic)
  23. Ivan Stepanov, Denis Fatkhiev, et al. Integrated optical vortex emitter with tunable order of orbital angular momentum Proc. SPIE 12295, Optical Technologies for Telecommunications 2021, 1229514 2022 0277-786X 1996-756X (electronic)
  24. Alexander Timofeev, Albert Kh. Sultanov, et al. Spectral image compression Proc. SPIE 12295, Optical Technologies for Telecommunications 2021, 1229514 2022 0277-786X 1996-756X (electronic)
  25. Fatkhiev D. M. et al. Recent advances in generation and detection of orbital angular momentum optical beams—A review //Sensors. – 2021. – Т. 21. – №. 15. – С. 4988. (https://doi.org/10.3390/s21154988)