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  1. 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

  2. Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

    Xie, L., Yang, L., Zeng, Q., He, J., Huang, J., Feng, Y., Amelina, E. & Amelin, M., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 7946-7950 5 p.

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

  3. Determining the law of ice deformation

    Buznik, V., Golushko, S., Amelina, E., Belyaev, V., Bryndin, L., Gorynin, A. & Shapeev, V., 6 Dec 2019, In: Journal of Physics: Conference Series. 1404, 1, 012010.

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

  4. 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

  5. Effect of the Reconstructed Sagittal Balance on Outcomes in the Elderly with Degenerative Low-Grade Spondylolisthesis: Single Center Four-Year Cohort Study

    Klimov, V. S., >Vasilenko, I. I., Ryabykh, S. O., Amelina, E. V., Bulatov, A. V. & Yevsyukov, A. V., 2020, In: Genij Ortopedii. 26, 4, p. 555-563 9 p.

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

  6. Llif en la correcciÓn de la escoliosis degenerativa en pacientes de la tercera edad

    Klimov, V. S., Vasilenko, I. I., Rzaev, J. A., Evsyukov, A. V., Khalepa, R. V., Amelina, E. V., Ryabykh, S. O., Sinha, P. & Ivanov, M., 2020, In: Coluna/ Columna. 19, 4, p. 243-248 6 p.

    Research output: Contribution to journal › Article › peer-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 proceeding › Conference contribution › Research › peer-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 proceeding › Conference contribution › Research › peer-review

  9. 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

  10. 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 journal › Article › peer-review

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