1. 2022
  2. Predictors of Complications and Unfavorable Outcomes of Minimally Invasive Surgery Treatment in Elderly Patients With Degenerative Lumbar Spine Pathologies (Case Series)

    Klimov, V., Evsyukov, A., Amelina, E., Ryabykh, S. & Simonovich, A., 26 Apr 2022, In: Frontiers in Surgery. 9, 869345.

    Research output: Contribution to journalArticlepeer-review

  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 Science and Business Media Deutschland GmbH, 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

  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 Science and Business Media Deutschland GmbH, 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

  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 Science and Business Media Deutschland GmbH, 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

  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 proceedingConference contributionResearchpeer-review

  7. Multi-class abdominal aortic aneurysm segmentation via 3D neural networks

    Тучинов, Б. Н. & Амелина, Е. В., 2022, Multi-class abdominal aortic aneurysm segmentation via 3D neural networks .

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. 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 proceedingConference contributionResearchpeer-review

  9. TREATMENT OF PATIENTS WITH DEGENERATIVE DEFORMITIES OF THE LUMBAR SPINE USING MIS TECHNOLOGIES: ANALYSIS OF 5-YEAR RESULTS

    Vasilenko, I. I., Ilvsyukov, A. V., Ryabykh, S. O., Amelina, E. V., Kubelsky, Y. E., Garipov, I. I. & Dmsc, J. A. R., 2022, In: Hirurgia Pozvonochnika. 19, 4, p. 52-59 8 p.

    Research output: Contribution to journalArticlepeer-review

  10. Новый алгоритм стратификации риска венозных тромбоэмболических осложнений в плановой нейрохирургии и его прогностическая значимость

    Bervitskiy, A. V., Guzhin, V. E., Moisak, G. I., Borisov, N. N., Amelina, E. V. & Rzaev, D. A., 2022, In: Zhurnal Voprosy Neirokhirurgii Imeni N.N. Burdenko. 86, 6, p. 7-15 9 p., 1.

    Research output: Contribution to journalArticlepeer-review

  11. 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 journalArticlepeer-review

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