Электронная библиотека (репозиторий) Томского государственного университета
Vrazhnov, Denis A. | Borisov, Alexey V.

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Add   Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning
Authors: Kistenev, Yury V. | Skiba, V. E. | Prischepa, Vladimir V. | Vrazhnov, Denis A. | Borisov, Alexey V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2022. Vol. 289. P. 108278 (1-18)
Type: статьи в журналах
Date: 2022
Description: The laser sources used in absorption spectroscopy of gas media are a compromise between spectral turn- ability and line width. For example, optical parametric oscillators have a very wide tuning range ... More
Add   Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures
Authors: Prischepa, V. V. | Skiba, V. E. | Borisov, Alexey V. | Vrazhnov, Denis A.
Source: Proceedings of SPIE. 2021. Vol. 12086 : XV International Conference on Pulsed Lasers and Laser Applications, 2021, Tomsk, Russian Federation. P. 120861F-1-120861F-8
Type: статьи в журналах
Date: 2021
Description: This article describes the methods and approaches used by us to solve the problem of a high error in the determination of a component with a low concentration in a gas mixture. The approaches based on ... More
Add   Choosing an optimal set of informative features in IR spectral data while retaining a clear distinction between classes recognized
Authors: Kabanova, Tatiana V. | Malakhova, T. E. | Kistenev, Yury V. | Borisov, Alexey V. | Vrazhnov, Denis A. | Sandykova, Ekaterina A.
Source: Pulsed lasers and laser applications AMPL-2021 : the 15th International conference, September 12-17, 2021, Tomsk, Russia : abstracts. Tomsk, 2021. P. 122-123
Type: статьи в сборниках
Date: 2021
Add   Application of multiphoton imaging and machine learning to lymphedema tissue analysis
Authors: Nikolaev, Viktor V. | Kurochkina, Oksana S. | Borisov, Alexey V. | Vrazhnov, Denis A. | Sandykova, Ekaterina A. | Kistenev, Yury V.
Source: Biomedical optics express. 2019. Vol. 10, № 7. P. 3353-3368
Type: статьи в журналах
Date: 2019
Description: The results of in-vivo two-photon imaging of lymphedema tissue are presented. The study involved 36 image samples from II stage lymphedema patients and 42 image samples from healthy volunteers. The pa ... More
Add   Medical diagnosis using NIR and THz tissue imaging and machine learning methods
Authors: Tuchin, Valery V. | Borisov, Alexey V. | Lazareva, Ekaterina N. | Nikolaev, Viktor V. | Tuchina, Daria K. | Vrazhnov, Denis A. | Yanina, Irina Yu. | Kistenev, Yury V.
Source: Proceedings of SPIE. 2019. Vol. 10877 : Dynamics and fluctuations in biomedical photonics XVI. P. 108770J-1-108770J-11
Type: статьи в журналах
Date: 2019
Description: The problem of extracting useful information for medical diagnosis from 2D and 3D optical imaging experimental data is of great importance. We are discussing challenges and perspectives of medical dia ... More
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