1. Can a single scalar second order PDE govern well the propagation of the electric wave field in a heterogeneous 3D medium?

    Romanov, V. G. & Klibanov, M. V., 1 Aug 2022, In: Journal of Inverse and Ill-Posed Problems. 30, 4, p. 595-611 17 p.

    Research output: Contribution to journalArticlepeer-review

  2. Calculation of the drag coefficient of micro and nanoparticles

    Bedarev, I. A., Slastnaya, D. A. & Temerbekov, V. M., 6 Dec 2019, In: Journal of Physics: Conference Series. 1404, 1, 012004.

    Research output: Contribution to journalConference articlepeer-review

  3. Burde’s series of simple pre-Lie algebras

    Gubarev, V., 2023, In: Sao Paulo Journal of Mathematical Sciences. 11 p.

    Research output: Contribution to journalArticlepeer-review

  4. Branching processes with immigration in atypical random environment

    Foss, S., Korshunov, D. & Palmowski, Z., Mar 2022, In: Extremes. 25, 1, p. 55-77 23 p.

    Research output: Contribution to journalArticlepeer-review

  5. Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 267-275 9 p. 24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  6. Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing

    Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., Mar 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 148-157 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Brain Tumor Classification based on MR Images using GAN as a Pre-Trained Model

    Yerukalareddy, D. R. & 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. 380-384 5 p. 9496036. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. Box-Quasimetrics and Horizontal Joinability on Cartan Groups

    Greshnov, A. V. & Kostyrkin, V. S., 21 Dec 2024, In: Algebra and Logic. 1, 63, p. 10-20 10 p.

    Research output: Contribution to journalArticlepeer-review

  9. Boundary Values in the Geometric Function Theory in Domains with Moving Boundaries

    Vodopyanov, S. K. & Pavlov, S. V., May 2024, In: Siberian Mathematical Journal. 65, 3, p. 552-574 23 p.

    Research output: Contribution to journalArticlepeer-review

  10. Boundary value problem in a cylinder for a pseudohyperbolic equation

    Bondar, L. N., Demidenko, G. V. & Nurmakhmatov, V. S., 2023, In: Chelyabinsk Physical and Mathematical Journal. 8, 4, p. 469-482 14 p.

    Research output: Contribution to journalArticlepeer-review

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