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  1. Estimation of the algorithmic complexity of classes of computable models

    Павловский, Е. Н., May 2008, In: Siberian Mathematical Journal. 49, 3, p. 512-523 12 p.

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

  2. 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

  3. Development of water flood model for oil production enhancement

    Tsvaki, J. J., Tailakov, D. O. & Pavlovskiy, E. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. 9303200. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  4. Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

    Groza, V., Tuchinov, B., Pavlovskiy, E., Amelina, E., Amelin, M., Golushko, S. & Letyagin, A., 1 Jan 2020, Bioinformatics and Biomedical Engineering - 8th International Work-Conference, IWBBIO 2020, Proceedings. Rojas, I., Valenzuela, O., Rojas, F., Herrera, L. J. & Ortuño, F. (eds.). Springer Gabler, p. 695-704 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12108 LNBI).

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

  5. Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation

    Tolstokulakov, N., Pavlovskiy, E., Tuchinov, B., Amelina, E., Amelin, M., Letyagin, A., Golushko, S. & Groza, V., 1 Apr 2020, ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p. 9153416. (ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings).

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

  6. 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

  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 proceeding › Conference contribution › Research › peer-review

  8. 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

  9. 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

  10. 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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