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  1. 2023

  2. Specifics of the Taxonomic Composition of Bacterial Microflora in the Respiratory Microbiome of Patients with Chronic Dust Bronchitis

    Paradnikova, S. A., Druzhinin, V. G., Baranova, E. D., Demenkov, P. S. & Larionov, A. V., Jun 2023, In: Molecular Genetics, Microbiology and Virology. 38, 2, p. 70-78 9 p.

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

  3. Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases

    Shikhevich, S., Chadaeva, I., Khandaev, B., Kozhemyakina, R., Zolotareva, K., Kazachek, A., Oshchepkov, D., Bogomolov, A., Klimova, N. V., Ivanisenko, V. A., Demenkov, P., Mustafin, Z., Markel, A., Savinkova, L., Kolchanov, N. A., Kozlov, V. & Ponomarenko, M., 16 Feb 2023, In: International Journal of Molecular Sciences. 24, 4, 3996.

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

  4. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  5. Composition of bacterial microbiome in sputum of patients with localized forms of pulmonary tuberculosis

    Druzhinin, V. G., Baranova, E. D., Demenkov, P. S., Zakharova, J. V., Lavryashina, M. B., Larionov, A. V., Matskova, L. V., Shabaldin, A. V. & Pyanzova, T. V., 2023, In: Pulmonologiya. 33, 5, p. 645-656 12 p.

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

  6. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

  7. Mathematical problems and solutions of the Ninth International Olympiad in Cryptography NSUCRYPTO

    Idrisova, V. A., Tokareva, N. N., Gorodilova, A. A., Beterov, I. I., Bonich, T. A., Ishchukova, E. A., Kolomeec, N. A., Kutsenko, A. V., Malygina, E. S., Pankratova, I. A., Pudovkina, M. A. & Udovenko, A. N., 2023, In: Прикладная дискретная математика. 62, p. 29-54 26 p., 4.

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

  8. On the number of ℓ-suitable Boolean functions in constructions of filter and combining models of stream ciphers

    Bonich, T. A., Panferov, M. A. & Tokareva, N. N., 2023, In: Прикладная дискретная математика. 62, p. 21-28 8 p.

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

  9. 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

  10. Восстановление модели трещин на основе машинного обучения и трехмерного свёрточного моделирования

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, In: Геофизика. 3, p. 58-63 6 p.

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

  11. 2022

  12. Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network

    Лыу, М. Ш. К. & Pavlovskiy, E., 25 Oct 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022: 2022 USBEREIT. Institute of Electrical and Electronics Engineers Inc., p. 44-47 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

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