1. 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 proceedingConference contributionResearchpeer-review

  2. A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior

    Chadaeva, I., Kozhemyakina, R., Shikhevich, S., Bogomolov, A., Kondratyuk, E., Ощепков, Д. Ю., Orlov, Y. L. & Markel, A. L., May 2024, In: International Journal of Molecular Sciences. 25, 9, 16 p., 4613.

    Research output: Contribution to journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. Assembly of imidazolyl-substituted nitronyl nitroxides into ferromagnetically coupled chains

    Romanov, V., Bagryanskaya, I., Gritsan, N., Gorbunov, D., Vlasenko, Y., Yusubov, M., Zaytseva, E., Luneau, D. & Tretyakov, E., 1 Apr 2019, In: Crystals. 9, 4, 12 p., 219.

    Research output: Contribution to journalArticlepeer-review

  5. 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

  6. 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 proceedingConference contributionResearchpeer-review

  7. 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

  8. Candidate SNP Markers Significantly Altering the Affinity of the TATA-Binding Protein for the Promoters of Human Genes Associated with Primary Open-Angle Glaucoma

    Zolotareva, K., Dotsenko, P. A., Podkolodnyy, N., Ivanov, R., Makarova, A. L., Chadaeva, I., Bogomolov, A., Demenkov, P. S., Ivanisenko, V., Oshchepkov, D. & Ponomarenko, M., Dec 2024, In: International Journal of Molecular Sciences. 25, 23, 12802.

    Research output: Contribution to journalArticlepeer-review

  9. 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 proceedingConference contributionResearchpeer-review

  10. Categoricity Spectra for Polymodal Algebras

    Bazhenov, N., 1 Dec 2016, In: Studia Logica. 104, 6, p. 1083-1097 15 p.

    Research output: Contribution to journalArticlepeer-review

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