1. 2023
  2. Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains

    Zeng, Q., Zhang, J., Chen, S., Xie, L., Huang, J., He, J., Pan, Y., Yu, J., Hu, Q., Amelina, E., Amelin, M. & Feng, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 8015-8020 6 p.

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

  3. 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 Inc., p. 7946-7950 5 p.

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

  5. Retinogeniculate Visual Pathway Reconstruction Using Reinforcement Learning

    Zhao, S., He, J., Li, Y., Zeng, Q., Feng, Y., Amelina, E., Amelin, M. & Xu, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 7935-7940 6 p.

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

  6. Syndromic assessment of degenerative disorders of the lumbar spine in elderly patients

    Klimov, V., Khalepa, R., Amelina, E., Evsukov, A., Krivoshapkin, A. & Ryabykh, S., 2023, In: Traumatology and Orthopedics of Russia. 29, 3, p. 31-45 15 p.

    Research output: Contribution to journalArticlepeer-review

  7. Video-assisted thoracoscopic treatment of discogenic thoracic myelopathy

    Kubetsky, Y. E., Anisimov, E. D., Khalepa, R. V., Loparev, E. A., Rzaev, D. A., Amelina, E. V. & Kelmakov, V. V., 2023, In: Russian Journal of Neurosurgery. 25, 2, p. 162-172 11 p.

    Research output: Contribution to journalArticlepeer-review

  8. 2022
  9. 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

  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 proceedingConference contributionResearchpeer-review

  11. 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 proceedingConference contributionResearchpeer-review

ID: 21826571