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  1. Brain Principles Programming

    Vityaev, E., Kolonin, A., Kurpatov, A. & Molchanov, A., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 424-433 10 p. 41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13539 LNAI).

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

  2. Brain's tumor image processing using shearlet transform

    Cadena, L., Espinosa, N., Cadena, F., Korneeva, A., Kruglyakov, A., Legalov, A., Romanenko, A. & Zotin, A., 2017, Applications of Digital Image Processing XL. Tescher, AG. (ed.). The International Society for Optical Engineering, Vol. 10396. 6 p. 103961B. (Proceedings of SPIE; vol. 10396).

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

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

  5. Business process verification with integrated simulation methods: Focus on "customer engagement»

    Israilova, S., Mukhanova, A., Yesikova, T. & Koishybayeva, M., 15 Nov 2021, In: Journal of Theoretical and Applied Information Technology. 99, 21, p. 5112-5124 13 p.

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

  6. Catching the Big Fish in Big Data: A Meta-Analysis of Zebrafish Kidney scRNA-Seq Datasets Highlights Conserved Molecular Profiles of Macrophages and Neutrophils in Vertebrates

    Bobrovskikh, A. V., Zubairova, U. S., Naumenko, L. G. & Doroshkov, A. V., Oct 2024, In: Biology. 13, 10, 773.

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

  7. Characterization of wavebreaking time and dissipation of weakly nonlinear wakefields due to ion motion

    Spitsyn, R. I., Timofeev, I. V., Sosedkin, A. P. & Lotov, K. V., 1 Oct 2018, In: Physics of Plasmas. 25, 10, 4 p., 103103.

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

  8. Choosing optimal model parameterization for improving the accuracy of refraction seismic tomography

    Chernyshov, G. S., Duchkov, A. A. & Koulakov, I. Y., Apr 2022, In: Near Surface Geophysics. 20, 2, p. 135-146 12 p.

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

  9. Classification at incomplete training information: Usage of group clustering to improve performance

    Berikov, V., Amirgaliyev, Y., Cherikbayeva, L., Yedilkhan, D. & Tulegenova, B., 1 Jan 2019, In: Journal of Theoretical and Applied Information Technology. 97, 19, p. 5048-5060 13 p.

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

  10. Cluster Ensemble Kernel for Kernel-based Classification

    Odinokikh, N. & Berikov, V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 670-674 5 p. 8958184. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

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