1. Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing

    Letyagin, A., Golushko, S., Amelin, M., Tuchinov, B., Amelina, E., Tolstokulakov, N., Pavlovskiy, E. & Groza, V., Jul 2020, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020: International symposium will take place in the frame of 12th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”. Institute of Electrical and Electronics Engineers Inc., p. 185-189 5 p. 9214645. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

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

  2. Problems and Prospectives of Big Data Storage and Processing Standartization

    Pavlovskiy, E. N., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 995-998 4 p. 8958046. (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

  3. Profiling a Brain MRI Pipeline for Multi-Agent System Design

    Тучинов, Б. Н., Павловский, Е. & Ропперт, Е. И., 2026, In: IEEE explorer.

    Research output: Contribution to journal › Conference article › peer-review

  4. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Pavlovskiy, E. N. & Шэн, Л., 2018

    Research output: Other contribution › Research

  5. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Sheng, L. & Pavlovskiy, E. N., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 972-974 3 p. 8957862. (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

  6. 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

  7. Superposition as Data Augmentation using LSTM and HMM in Small Training Sets

    Павловский, Е. Н. & Сивасвами, А., 24 Oct 2019, Daejeon, South Korea: Cornell University, 5 p.

    Research output: Working paper

  8. The Siberian multimodal brain tumor image segmentation dataset

    Голушко, С. К., Амелина, Е. В., Groza, V., Амелин, М. Е., Толстокулаков, Н. Ю., Тучинов, Б. Н. & Pavlovskiy, E., 2020.

    Research output: Contribution to conference › Abstract › peer-review

  9. Восстановление 3D-модели дефекта черепа на основе глубоких нейронных сетей

    Павловский, Е. Н., Пакулич, Д. В. & Поспелов, С. О., 1 Sept 2017, In: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 15, 3, p. 74-78 5 p.

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

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