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  1. Siberian Brain Tumor Dataset: MPT с признаками метастаз головного мозга

    Тучинов, Б. Н., Летягин, А. Ю., Амелина, Е. В. & Ропперт, Е. И., 24 Dec 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2024626338, 11 Dec 2024, Priority date 11 Dec 2024, Priority No. 2024626220

    Research output: Patent › Database registration

  2. Sensitivity analysis and practical identifiability of the mathematical model for partial differential equations

    Krivorotko, O. & Andornaya, D., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012012.

    Research output: Contribution to journal › Conference article › peer-review

  3. Semicontinuity under Convergence of Homeomorphisms in of the Operator Distortion Function

    Vodopyanov, S. K. & Sboev, D. A., Jul 2024, In: Siberian Mathematical Journal. 65, 4, p. 737-750 14 p., 1.

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

  4. Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer

    Veryaskina, Y. A., Titov, S. E., Ivanov, M. K., Ruzankin, P. S., Tarasenko, A. S., Shevchenko, S. P., Kovynev, I. B., Stupak, E. V., Pospelova, T. I. & Zhimulev, I. F., Feb 2022, In: PLoS ONE. 17, 2 February, e0254304.

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

  5. Selected Stories about Famous Mathematicians. Избранные истории о знаменитых математиках

    Кушнарева, А. А., 2024, Новосибирск: ИПЦ НГУ. 36 p.

    Research output: Book/Report › Teaching materials › peer-review

  6. Selected Presentation Abstracts from BICA*AI 2023

    Boboshko, M. Y., Garbaruk, E. S., Knyazeva, V. M., Vasilyeva, M. J., Aleksandrov, A. A., Kolonin, A. & Samsonovich, A. V., 2024, Studies in Computational Intelligence. Springer, p. 14-17 4 p. 2. (Studies in Computational Intelligence; vol. 1130 LNCS).

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

  7. Seismic Inversion for Fracture Model Reconstruction: From 1D Inversion to Machine Learning

    Protasov, M., Kenzhin, R., Dmitrachkov, D. & Pavlovskiy, E., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 99-109 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13957 LNCS).

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

  8. Seasonal variations of traffic-induced CO concentration in a city with a large river: A computational study

    Hrebtov, M. & Hanjalić, K., 2018, THMT 2018 - Proceedings of the 9th International Symposium on Turbulence Heat and Mass Transfer. Begell House Inc., p. 585-588 4 p. (Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer; vol. 2018-July).

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

  9. Search for stationary poiseuille flows for an incompressible polymer fluid in channels with perforated walls

    Blokhin, A. M. & Semenko, R. E., Feb 2022, In: Journal of Applied Mechanics and Technical Physics. 63, 1, p. 26-33 8 p.

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

  10. Search for optimal deep neural network architecture for gamma ray search at KASCADE

    Kuznetsov, M., Petrov, N., Plokhikh, I., Sotnikov, V. & Tsobenko, M., 14 Dec 2023, In: Proceedings of Science. 423, 8 p., 091.

    Research output: Contribution to journal › Conference article › peer-review

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