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  1. 2024

  2. Искусственный интеллект в технологиях сегментации и классификации нейроонкологических очагов

    Летягин, А. Ю., Тучинов, БН., Амелина, ЕВ., Павловский, ЕН., Голушко, СК., Амелин, М. Е. & Рзаев, Д. А., 2024, In: Сибирский научный медицинский журнал. 44, 1, p. 32-38 7 p.

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

  3. Применение алгоритма компьютерного зрения для определения очагов демиелинизации при рассеянном склерозе на МРТ-изображениях

    Тучинов, Б. Н., Суворов, В., Моторин, КО., Павловский, Е. Н., Василькив, Л., Станкевич, Ю. & Тулупов, А. А., 2024, In: Сибирский научный медицинский журнал. 44, 1, p. 107-115 9 p.

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

  4. 2023

  5. Программа для определения зоны наибольшей эмбологенности внутреннего просвета брюшной аорты с аневризмой на основе критерия лохматости

    Федотова, Я. В., Амелина, Е. В. & Карпенко, А. А., 1 Dec 2023, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2023685966, 27 Nov 2023, Priority date 27 Nov 2023, Priority No. 2023685511

    Research output: Patent › Software registration

  6. Task-driven approach to artificial intelligence

    Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., Sept 2023, In: Cognitive Systems Research. 81, p. 50-56 7 p.

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

  7. Lower Semilattices of Separable Congruences of Numbered Algebras

    Kasymov, N. K. & Morozov, A. S., Jul 2023, In: Siberian Mathematical Journal. 64, 4, p. 864-876 13 p.

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

  8. Families of Permutations and Ideals of Turing Degrees

    Morozov, A. S., Puzarenko, V. G. & Faizrachmanov, M. K., Jan 2023, In: Algebra and Logic. 61, 6, p. 481-490 10 p.

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

  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 Science and Business Media Deutschland GmbH, 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. Assessment of normal myelination in infants and young children using the T1w/T2w mapping technique

    Filimonova, E., Amelina, E., Sazonova, A., Zaitsev, B. & Rzaev, J., 2023, In: Frontiers in Neuroscience. 17, p. 9 1102691.

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

  11. Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains

    Zeng, Q., Zhang, J., Chen, S., Xie, L., Huang, J., He, J., Pan, Y., Yu, J., Hu, Q., Amelina, E., Amelin, M. & Feng, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 8015-8020 6 p.

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

  12. Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

    Xie, L., Yang, L., Zeng, Q., He, J., Huang, J., Feng, Y., Amelina, E. & Amelin, M., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 7946-7950 5 p.

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

  13. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

  14. Retinogeniculate Visual Pathway Reconstruction Using Reinforcement Learning

    Zhao, S., He, J., Li, Y., Zeng, Q., Feng, Y., Amelina, E., Amelin, M. & Xu, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 7935-7940 6 p.

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

  15. 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 Science and Business Media Deutschland GmbH, 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

  16. Syndromic assessment of degenerative disorders of the lumbar spine in elderly patients

    Klimov, V., Khalepa, R., Amelina, E., Evsukov, A., Krivoshapkin, A. & Ryabykh, S., 2023, In: Traumatology and Orthopedics of Russia. 29, 3, p. 31-45 15 p.

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

  17. Video-assisted thoracoscopic treatment of discogenic thoracic myelopathy

    Kubetsky, Y. E., Anisimov, E. D., Khalepa, R. V., Loparev, E. A., Rzaev, D. A., Amelina, E. V. & Kelmakov, V. V., 2023, In: Russian Journal of Neurosurgery. 25, 2, p. 162-172 11 p.

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

  18. 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

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

    Тучинов, Б. Н., Амелина, Е. В., Летягин, А. Ю., Павловский, Е., Голушко, С. К. & Амелин, М. Е., 2023, Программный модуль для диагностики опухолей головного мозга на МРТ-изображениях. 1S ed. Vol. 4. p. 138-140 3 p. (Digital Diagnostics).

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

  20. 2022

  21. Система для дифференциальной диагностики опухолей головного мозга на МРТ-изображениях

    Пнев, С. Д., Тучинов, Б. Н., Павловский, Е. & Толстокулаков, Н. Ю., 22 Dec 2022, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2022685266, 15 Dec 2022, Priority date 15 Dec 2022, Priority No. 2022684778/69

    Research output: Patent › Software registration

  22. 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

  23. Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network

    Лыу, М. Ш. К. & Pavlovskiy, E., 25 Oct 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022: 2022 USBEREIT. Institute of Electrical and Electronics Engineers Inc., p. 44-47 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

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