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  1. Программный комплекс для восстановления трехмерной структуры поверхностной бедренной артерии человека на основе ультразвуковой диагностики

    Тарасов, К. О., Епифанов, Р. Ю., Гостев, А. А., Лысиков, Д. А., Карпенко, А. А. & Мулляджанов, Р. И., 9 Jan 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025610181, 16 Dec 2024, Priority date 16 Dec 2024, Priority No. 2024691869

    Research output: Patent › Software registration

  2. Мультиклассовая генерация поверхностей сложных анатомических структур с помощью нейронной сети

    Епифанов, Р. Ю., Федотова, Я. В., Попов, Д. Р. & Мулляджанов, Р. И., 2025, In: Доклады Российской академии наук. Математика, информатика, процессы управления. 527, S, p. 354-366 13 p.

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

  3. The role of asymmetry and volume of thrombotic masses in the formation of local deformation of the aneurysmal-altered vascular wall: An in vivo study and mathematical modeling

    Tikhvinsky, D., Maus, M., Lipovka, A., Nikitin, N., Epifanov, R., Volkova, I., Mullyadzhanov, R., Chupakhin, A., Parshin, D. & Karpenko, A., Jun 2024, In: PLoS ONE. 19, 6 June, p. e0301047 19 p., e0301047.

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

  4. The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach

    Epifanov, R., Fedotova, Y., Dyachuk, S., Gostev, A., Karpenko, A. & Mullyadzhanov, R., 26 Jun 2025, In: Journal of Imaging. 11, 7, 22 p., 209.

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

  5. Personalized numerical simulation for hemodynamics of abdominal aortic aneurysm: analysis of simulation results sensitivity to the input boundary conditions

    Fedotova, Y. V., Epifanov, R. Y., Volkova, I. I., Maus, M. S., Nikitin, N. A., Aivazov, S. A., Khrebtov, M. Y., Karpenko, A. A. & Mullyadzhanov, R. I., Mar 2024, In: Thermophysics and Aeromechanics. 31, 2, p. 375-391 17 p.

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

  6. Measurable Metrics of Mesenchymal Stem Cell Aging

    Kalashnikova, D. A., Romanov, S. E., Maksimov, D. A., Plokhikh, I. A., Epifanov, R. Y., Mullyadjanov, R. I., Sidelnikov, L. O., Antoshina, P. A., Osipov, Y. A., Shloma, V. V., Budilina, A. A., Samoylova, E. M., Baklaushev, V. P. & Laktionov, P. P., 2025, In: Sovremennye Tehnologii v Medicine. 17, 5, p. 5-30 26 p., 1.

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

  7. 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 journal › Article › peer-review

  8. Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

    Artemenko, N. V., Genaev, M. A., Epifanov, R. U., Komyshev, E. G., Kruchinina, Y. V., Koval, V. S., Goncharov, N. P. & Afonnikov, D. A., 2023, In: Frontiers in Plant Science. 14, 16 p., 1336192.

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

  10. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches

    Fedotova, Y. V., Epifanov, R. U. I., Karpenko, A. A. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012069.

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

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