1. Comparative analysis of air and water flows in simplified hydraulic turbine models

    Skripkin, S. G., Suslov, D. A., Litvinov, I. V., Gorelikov, E. U., Tsoy, M. A. & Shtork, S. I., 11 Jan 2022, In: Journal of Physics: Conference Series. 2150, 1, 012001.

    Research output: Contribution to journalConference articlepeer-review

  2. Change in Permeability of Loose Rocks in Partial Impregnation with High-Elastic Polymer

    Shilova, T. V., Serdyuk, I. M., Serdyukov, S. V., Ivanova, O. A. & Serdyukov, A. S., Feb 2024, In: Journal of Mining Science. 60, 1, p. 22-28 7 p.

    Research output: Contribution to journalArticlepeer-review

  3. 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

  4. 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

  5. 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

  6. Bound-state soliton gas as a limit of adiabatically growing integrable turbulence

    Agafontsev, D. S., Gelash, A. A., Mullyadzhanov, R. I. & Zakharov, V. E., Jan 2023, In: Chaos, Solitons and Fractals. 166, 112951.

    Research output: Contribution to journalArticlepeer-review

  7. Bi-Solitons on the Surface of a Deep Fluid: An Inverse Scattering Transform Perspective Based on Perturbation Theory

    Gelash, A., Dremov, S., Mullyadzhanov, R. & Kachulin, D., 29 Mar 2024, In: Physical Review Letters. 132, 13, p. 133403 133403.

    Research output: Contribution to journalArticlepeer-review

  8. Backflow phenomenon in converging and diverging channels

    Zaripov, D., Li, R., Lukyanov, A., Skrypnik, A., Ivashchenko, E., Mullyadzhanov, R. & Markovich, D., Jan 2023, In: Experiments in Fluids. 64, 1, 11 p., 9.

    Research output: Contribution to journalArticlepeer-review

  9. A programmable ultrasound-based system for reconstructing the three-dimensional structure of the superficial femoral artery

    Tarasov, K. O., Epifanov, R. U. I., Gostev, A. A., Lysikov, D. A., Karpenko, A. A. & Mullyadzhanov, R. I., Sept 2024, In: Biomedical Engineering. 58, 3, p. 158-162 5 p.

    Research output: Contribution to journalArticlepeer-review

  10. Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains

    Zeng, Q., Zhang, J., Chen, S., Xie, L., Huang, J., He, J., Pan, Y., Yu, J., Hu, Q., Amelina, E., Amelin, M. & Feng, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 8015-8020 6 p.

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

ID: 24866909