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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

  13. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

  14. A quadratic part of a bent function can be any

    Tokareva, N. N., 2022, In: Siberian Electronic Mathematical Reports. 19, 1, p. 342-347 6 p.

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

  15. 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 proceeding › Conference contribution › Research › peer-review

  16. Cascaded Training Pipeline for 3D Brain Tumor Segmentation

    Luu, M. S. K. & Pavlovskiy, E., 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. 410-420 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12962 LNCS).

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

  17. Chronic dust bronchitis: composition of the sputum bacterial microbiome and its association with chromosome damage in blood lymphocytes

    Druzhinin, V. G., Baranova, E. D., Demenkov, P. S., Matskova, L. V., Paradnikova, S. A., Volobaev, V. P. & Larionov, A. V., 2022, In: Ecological Genetics. 20, 4, p. 325-337 13 p.

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

  18. Improving Brain Tumor Multiclass Classification With Semantic Features

    Sao Khue, L. M. & Pavlovskiy, E., 2022, Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc., p. 150-154 5 p. (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).

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

  19. 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 proceeding › Conference contribution › Research › peer-review

  20. Validation of preoperative diagnosis of malignant thyroid tumors using a molecular classifier

    Titov, S. E., Lukyanov, S. A., Kozorezova, E. S., Demenkov, P. S., Sergiyko, S. V., Veryaskina, Y. A., Vorobyov, S. L., Sleptsov, I. V. & Gostimsky, A. V., 2022, In: Voprosy Onkologii. 68, 6, p. 741-751 11 p.

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

  21. Особенности создания базы данных нейроонкологических 3D МРТ-изображений для обучения искусственного интеллекта

    Амелина, Е. В., Летягин, А. Ю., Тучинов, Б. Н., Толстокулаков, Н. Ю., Амелин, М. Е., Павловский, Е., Гроза, В. В. & Голушко, С. К., 2022, In: Сибирский научный медицинский журнал. 42, 6, p. 51-59 9 p., 6.

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

  22. 2021

  23. Prioritization of biological processes based on the reconstruction and analysis of associative gene networks describing the response of plants to adverse environmental factors

    Demenkov, P. S., Oshchepkova, E. A., Ivanisenko, T. V. & Ivanisenko, V. A., Sept 2021, In: Vavilovskii Zhurnal Genetiki i Selektsii. 25, 5, p. 580-592 13 p., 13.

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

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