1. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

  2. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  3. 3.9-mu m Optical Parametric Oscillator Based on MgO: PPLN Pumped at 1966 nm Using a High-Repetition-Rate Tm3+:Lu2O3 Ceramic Laser

    Antipov, O., Kositsyin, R., Kal'yanov, D., Kolker, D. & Larin, S., 2017, 2017 CONFERENCE ON LASERS AND ELECTRO-OPTICS EUROPE & EUROPEAN QUANTUM ELECTRONICS CONFERENCE (CLEO/EUROPE-EQEC). IEEE Canada, 1 p.

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

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