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  1. Siberian Brain Multiple Sclerosis Dataset: MPT с признаками рассеянного склероза головного мозга

    Тучинов, Б. Н., Прокаева, А. И., Коробко, Д. С., Василькив, Л. М. & Тулупов, А. А., 19 Dec 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025626364, 9 Dec 2025, Priority date 9 Dec 2025, Priority No. ЕА-172990

    Research output: Patent › Database registration

  2. 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

  3. 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

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

    Тучинов, Б. Н., Амелина, Е. В., Пнев, С. Д., Гроза, В. В., Никитин, Н. А. & Карпенко, А. А., 2022, BIOINFORMATICS OF GENOME REGULATION AND STRUCTURE/SYSTEMS BIOLOGY (BGRS/SB-2022): Abstracts the Thirteenth International Multiconference. p. 1124-1125 2 p.

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

  5. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

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

  6. 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

  7. 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

  8. 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

  9. Computer Vision and Explainable Approaches for Chest Tuberculosis Screenings

    Benedichuk, M., Bashkova, P. & Tuchinov, B., 2024, Proceedings of the IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024. Institute of Electrical and Electronics Engineers Inc., p. 820-823 4 p.

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

  10. 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

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