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  1. Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

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

  2. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

    Letyagin, A., Golushko, S., Amelin, M., Tuchinov, B., Amelina, E., Tolstokulakov, N., Pavlovskiy, E. & Groza, V., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020: International symposium will take place in the frame of 12th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”. Institute of Electrical and Electronics Engineers Inc., p. 185-189 5 p. 9214645. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

  3. Multi-normex distributions for the sum of random vectors. Rates of convergence

    Kratz, M. & Prokopenko, E., Sept 2023, In: Extremes. 26, 3, p. 509-544 36 p.

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

  4. Multi-switches and virtual knot invariants

    Bardakov, V. & Nasybullov, T., 15 Apr 2021, In: Topology and its Applications. 293, 107552.

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

  5. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric

    Kalmutskiy, K., Cherikbayeva, L., Litvinenko, A. & Berikov, V., 2023, Communications in Computer and Information Science. Springer, p. 364-375 12 p. (Communications in Computer and Information Science; vol. 1881 CCIS).

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

  6. Necessary Conditions for Existence of Solutions of a Certain Pseudohyperbolic System of Equations

    Bondar, L. N. & Mingnarov, S. B., Sept 2024, In: Siberian Advances in Mathematics. 34, 3, p. 187-195 9 p.

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

  7. Negative Numberings in Admissible Sets. II

    Kalimullin, I. S., Puzarenko, V. G. & Faizrakhmanov, M. K., Mar 2024, In: Siberian Advances in Mathematics. 34, 1, p. 41-66 26 p., 2.

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

  8. Neural nerwork approach for plug flow analysis in microchannels

    Seredkin, A. V. & Yagodnitsyna, A. A., 2022, In: Interfacial Phenomena and Heat Transfer. 10, 1, p. 15-24 10 p.

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

  9. Neural network for calculating direct and inverse nonlinear Fourier transform

    Sedov, E. V., Чеховской, И. С. & Prilepsky, J. E., Dec 2021, In: Quantum Electronics. 51, 12, p. 1118-1121 4 p.

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

  10. Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation

    Sedov, E. V., Freire, P. J., Seredin, V. V., Kolbasin, V. A., Kamalian-Kopae, M., Chekhovskoy, I. S., Turitsyn, S. K. & Prilepsky, J. E., Dec 2021, In: Scientific Reports. 11, 1, 22857.

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

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