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  1. 2023

  2. 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

  3. Direct Numerical Simulation of the Turbulent Flow Laminarization in a Pipe at Re = 5000

    Zaripov, D. I., Ivashchenko, V. A., Panteleev, S. A., Luk’yanov, A. A. & Mullyadzhanov, R. I., 2023, In: Russian Aeronautics. 66, 4, p. 723-730 8 p.

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

  4. Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

    Artemenko, N. V., Genaev, M. A., Epifanov, R. U., Komyshev, E. G., Kruchinina, Y. V., Koval, V. S., Goncharov, N. P. & Afonnikov, D. A., 2023, In: Frontiers in Plant Science. 14, 16 p., 1336192.

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

  5. Программный модуль для диагностики опухолей головного мозга на МРТ-изображениях

    Тучинов, Б. Н., Амелина, Е. В., Летягин, А. Ю., Павловский, Е., Голушко, С. К. & Амелин, М. Е., 2023, Программный модуль для диагностики опухолей головного мозга на МРТ-изображениях. 1S ed. Vol. 4. p. 138-140 3 p. (Digital Diagnostics).

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

  6. 2022

  7. Bimetallic NiM/C (M = Cu and Mo) Catalysts for the Hydrogen Oxidation Reaction: Deciphering the Role of Unintentional Surface Oxides in the Activity Enhancement

    Oshchepkov, A. G., Simonov, P. A., Kuznetsov, A. N., Shermukhamedov, S. A., Nazmutdinov, R. R., Kvon, R. I., Zaikovskii, V. I., Kardash, T. Y., Fedorova, E. A., Cherstiouk, O. V., Bonnefont, A. & Savinova, E. R., 16 Dec 2022, In: ACS Catalysis. 12, 24, p. 15341-15351 11 p.

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

  8. A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser

    Kokhanovskiy, A., Shevelev, A., Serebrennikov, K., Kuprikov, E. & Turitsyn, S., 1 Dec 2022, In: Photonics. 9, 12, 921.

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

  9. Deep reinforcement learning for self-tuning laser source of dissipative solitons

    Kuprikov, E., Kokhanovskiy, A., Serebrennikov, K. & Turitsyn, S., Dec 2022, In: Scientific Reports. 12, 1, 7185.

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

  10. Electrodeposited NiCu nanoparticles for the borohydride oxidation reaction: Effect of Cu on the activity and stability of Ni upon surface oxidation

    Vorms, E. A., Suprun, E. A., Nartova, A. V., Kvon, R. I. & Oshchepkov, A. G., 20 Nov 2022, In: Electrochimica Acta. 433, 141196.

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

  11. Inactivation and Degradation of Influenza A Virus on the Surface of Photoactive Self-Cleaning Cotton Fabric Functionalized with Nanocrystalline TiO2

    Selishchev, D., Stepanov, G., Sergeeva, M., Solovyeva, M., Zhuravlev, E., Komissarov, A., Richter, V. & Kozlov, D., Nov 2022, In: Catalysts. 12, 11, 1298.

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

  12. Схема обработки сигналов в приемнике многомодовых линий связи на основе сверточных нейронных сетей

    Сидельников, О. С., Редюк, А. А. & Федорук, М. П., 18 Oct 2022, p. 145-146. 2 p.

    Research output: Contribution to conference › Abstract › peer-review

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