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  1. 2022

  2. Система персонализированных рекомендаций для участников мультиязычных мероприятий на основе машинного обучения и облачных технологий (SaaS)

    Pavlovskiy, E., Тучинов, Б. Н. & Суворов, В., 8 Sept 2022, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2022666871, 30 Aug 2022, Priority date 8 Sept 2022, Priority No. 2022665878

    Research output: Patent › Software registration

  3. 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

  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. 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

  6. 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

  7. 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

  8. 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

  9. 2021

  10. Система для автоматической сегментации опухолей головного мозга

    Тучинов, Б. Н., Толстокулаков, Н. Ю., Амелина, Е. В., Гроза, В. В., Павловский, Е. Н., Амелин, М. Е., Летягин, А. Ю. & Голушко, С. К., 20 Aug 2021, Редакционно-издательский центр НГУ, Patent No. 48, Priority date 19 Aug 2021

    Research output: Patent › Know-how registration

  11. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

  12. Brain Tumor Classification based on MR Images using GAN as a Pre-Trained Model

    Yerukalareddy, D. R. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 380-384 5 p. 9496036. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

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