1. Momentum ray transforms, II: Range characterization in the Schwartz space

    Krishnan, V. P., Manna, R., Sahoo, S. K. & Sharafutdinov, V. A., Apr 2020, In: Inverse Problems. 36, 4, 33 p., 045009.

    Research output: Contribution to journalArticlepeer-review

  2. Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems

    Sabelfeld, K. K. & Popov, N., 1 Sept 2020, In: Monte Carlo Methods and Applications. 26, 3, p. 177-191 15 p.

    Research output: Contribution to journalArticlepeer-review

  3. 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 proceedingConference contributionResearchpeer-review

  4. 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 proceedingConference contributionResearchpeer-review

  5. 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 journalArticlepeer-review

  6. Multi-switches and virtual knot invariants

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

    Research output: Contribution to journalArticlepeer-review

  7. 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 Science and Business Media Deutschland GmbH, p. 364-375 12 p. (Communications in Computer and Information Science; vol. 1881 CCIS).

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

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