1. Locus-specific methylation of gstp1, rnf219, and kiaa1539 genes with single molecule resolution in cell-free dna from healthy donors and prostate tumor patients: Application in diagnostics

    Bryzgunova, O., Bondar, A., Ruzankin, P., Laktionov, P., Tarasenko, A., Kurilshikov, A., Epifanov, R., Zaripov, M., Kabilov, M. & Laktionov, P., 1 Dec 2021, In: Cancers. 13, 24, 6234.

    Research output: Contribution to journalArticlepeer-review

  2. Long-Term Effects of Spinal Cord Stimulation on Pain in Postherpetic Neuralgia

    Anisimov, E. D., Andrushkevich, O. M., Dzhafarov, V. M., Amelina, E. V., Rzaev, J. A. & Slavin, K. V., 2025, In: Stereotactic and Functional Neurosurgery. 103, 1, p. 35-41 7 p.

    Research output: Contribution to journalArticlepeer-review

  3. Machine learning methods for development of data-driven turbulence models

    Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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

  4. Magnus Expansion for the Direct Scattering Transform: High-Order Schemes

    Mullyadzhanov, R. I. & Gelash, A. A., Feb 2021, In: Radiophysics and Quantum Electronics. 63, 9-10, p. 786-803 18 p.

    Research output: Contribution to journalArticlepeer-review

  5. Manipulation of Strongly Interacting Solitons in Optical Fiber Experiments

    Mucci, A., Suret, P., Copie, F., Randoux, S., Mullyadzhanov, R. & Gelash, A., 15 May 2025, In: Physical Review Letters. 134, 19, 1936804.

    Research output: Contribution to journalArticlepeer-review

  6. Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

    Kuznetsov, M. Y., Petrov, N. A., Plokhikh, I. A. & Sotnikov, V. V., 1 Jan 2024, In: Journal of Instrumentation. 19, 1, P01025.

    Research output: Contribution to journalArticlepeer-review

  7. MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection

    Kotyushev, M., Glazkova, A. & Morozov, D., 2021, SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Palmer, A., Schneider, N., Schluter, N., Emerson, G., Herbelot, A. & Zhu, X. (eds.). Association for Computational Linguistics, p. 913-918 6 p. (SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

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

  8. Modification of k-ε Model for Sensible Heat and Momentum Flux Reconstruction from Surface Temperature Data

    Hrebtov, M. & Bobrov, M., Jul 2022, In: Atmosphere. 13, 7, 1146.

    Research output: Contribution to journalArticlepeer-review

  9. Modification of the copper wettability by nanosecond laser texturing

    Vasilev, M. M., Shukhov, Y. G., Rodionov, A. A., Li, Y. P. & Lei, M. K., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012126.

    Research output: Contribution to journalConference articlepeer-review

  10. 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

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