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 journalArticlepeer-review

  3. 2023
  4. 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: PatentSoftware registration

  5. 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 journalArticlepeer-review

  6. 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 journalArticlepeer-review

  7. 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 journalArticlepeer-review

  8. 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 proceedingConference contributionResearchpeer-review

  9. 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 journalArticlepeer-review

  10. 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 proceedingConference contributionResearchpeer-review

  11. 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 proceedingConference contributionResearchpeer-review

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