1. 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

  2. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

  3. A hybrid approach for anaphora resolution in the Russian language

    Kozlova, A., Svischev, A., Gureenkova, O. & Batura, T., 18 Oct 2017, Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., p. 36-40 5 p. 8071960. (Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017).

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

  4. 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

  5. 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

  6. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

  7. Artificial Intelligence for Imaging Diagnostics in Neurosurgery

    Letyagin, A. Y., Degtyareva, L. O., Golushko, S. K., Rzaev, J. A., Amelin, M. E., Pavlovsky, E. N., Tuchinov, B. N., Amelina, E. V., Moisak, G. I. & Bulgakova, E. G., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 336-337 2 p. 8958201. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  8. 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

  9. A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development

    Лыу, М. Ш. К., Бенедичук, М. В., Ропперт, Е. И., Кенжин, Р. М. & Тучинов, Б. Н., 18 Dec 2025, In: Journal of Imaging. 11, 12, 29 p., 454.

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

  10. A Topological Characterization of ITBM–Representable Relational Structures

    Morozov, A. S., 27 Aug 2026, In: Algebra and Logic. 64, 6, p. 432-434 3 p.

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

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