51 - 60 out of 117Page size: 10
  1. 2022

  2. 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, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

  3. 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

  4. 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, 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 proceeding › Conference contribution › Research › peer-review

  5. 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 proceeding › Conference contribution › Research › peer-review

  6. 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

  7. 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

  8. 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 journal › Article › peer-review

  9. 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 journal › Article › peer-review

  10. 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 journal › Article › peer-review

  11. 2021

  12. More layers! End-to-end regression and uncertainty on tabular data with deep learning

    Бондаренко, И., 7 Dec 2021, 12 p. (arXiv)

    Research output: Book/Report › Preprint

Previous 12 3 4 5 6 7 8 9 ...12 Next

ID: 3083576