Mr. Denis A. Vrazhnov Profile

Denis A. Vrazhnov

at VE Zuev Institute of Atmospheric Optics SB RAS

SPIE Involvement:

Author

Publications (23)

Proceedings Article | 17 October 2023 Paper

Machine learning methods for LIDAR measurements: review

D. Vrazhnov, A. Knyazkova, Y. Kistenev, O. Romanovskii

Proceedings Volume 12780, 127803T (2023) https://doi.org/10.1117/12.2692926

KEYWORDS: LIDAR, Atmospheric modeling, Machine learning, Atmospheric sensing, Clouds, Signal to noise ratio, Surface air temperature, Neural networks

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Proceedings Article | 8 December 2022 Paper

Reconstructing the ozone concentration profile using machine learning methods

D. Vrazhnov

Proceedings Volume 12341, 123413L (2022) https://doi.org/10.1117/12.2644962

KEYWORDS: Ozone, Machine learning, LIDAR, Data modeling, Neural networks, Atmospheric modeling

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Proceedings Article | 2 December 2021 Paper

Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

V. Prischepa, V. Skiba, A. Borisov, D. Vrazhnov

Proceedings Volume 12086, 120861F (2021) https://doi.org/10.1117/12.2614040

KEYWORDS: Neural networks, Machine learning, Data modeling, Absorption, Reconstruction algorithms, Chemical analysis, Laser spectroscopy, Absorption spectroscopy

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Proceedings Article | 2 December 2021 Paper

Informative feature selection method for Raman micro-spectroscopy data

A. Karmenyan, D. Vrazhnov, E. Sandykova, E. Perevedentseva, A. Krivokharchenko, V. Nadtochenko, C.-L. Cheng, T. Kabanova, T. Malakhova

Proceedings Volume 12086, 120861H (2021) https://doi.org/10.1117/12.2613966

KEYWORDS: Raman spectroscopy, Feature selection, Machine learning, Statistical analysis

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Proceedings Article | 2 December 2021 Paper

Raman spectroscopy of blood plasma for cancer diagnosis

O. Cherkasova, A. Mankova, D. Vrazhnov

Proceedings Volume 12086, 120861M (2021) https://doi.org/10.1117/12.2613925

KEYWORDS: Raman spectroscopy, Blood, Tumors, Plasma, Machine learning, Cancer, Principal component analysis, Plasma spectroscopy, Plasma diagnostics

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Proceedings Article | 2 December 2021 Paper

Efficiency of the phasor plot approach for the analysis of the antimicrobial properties of nanoparticles using two-photon microscopy

V. Nikolaev, D. Vrazhnov, A. Lozhkomoev

Proceedings Volume 12086, 120861J (2021) https://doi.org/10.1117/12.2616343

KEYWORDS: Nanoparticles, Bacteria, Two photon excitation microscopy, Fluorescence lifetime imaging, Microscopy

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SPIE Press Book | 3 August 2021

Medical Applications of Laser Molecular Imaging and Machine Learning

Yury Kistenev, Alexey Borisov, Denis Vrazhnov

KEYWORDS: Absorption, Spectroscopy, Molecules, Machine learning, Statistical analysis, Data modeling, Tissues, Sensors, Biological research, Tissue optics

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Medical Applications of Laser Molecular Imaging and Machine Learning

SPIE Journal Paper | 12 February 2021 Open Access

Terahertz spectroscopy of diabetic and non-diabetic human blood plasma pellets

Anastasia Lykina, Maxim Nazarov, Maria Konnikova, Ilia Mustafin, Vladimir Vaks, Vladimir Anfertev, Elena Domracheva, Mariya Chernyaeva, Yury Kistenev, Denis Vrazhnov, Vladimir Prischepa, Yulia Kononova, Dmitry Korolev, Olga Cherkasova, Alexander Shkurinov, Alina Y. Babenko, Olga Smolyanskaya

JBO, Vol. 26, Issue 04, 043006, (February 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.4.043006

KEYWORDS: Terahertz radiation, Blood, Plasma, Absorption, Refractive index, Glucose, Proteins, Terahertz spectroscopy, Spectrometers, Water

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Proceedings Article | 17 November 2020 Paper

Machine learning methods for the in-vitro analysis of preimplantation embryo Raman micro-spectroscopy

A. Karmenyan, Y. Kistenev, E. Perevedentseva, A. Krivokharchenko, M. Sarmiento, E. Barus, C.-L. Cheng, D. Vrazhnov

Proceedings Volume 11582, 115820W (2020) https://doi.org/10.1117/12.2580485

KEYWORDS: Raman spectroscopy, Principal component analysis, Machine learning, In vitro testing, Visualization, Plasma, Physics, Statistical analysis, Gaussian filters

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Proceedings Article | 17 November 2020 Paper

Improving low-resolution gas-mixture absorption spectra using neural networks

V. Skiba, D. Vrazhnov, V. Prischepa, M. Miroshnichenko

Proceedings Volume 11582, 115821C (2020) https://doi.org/10.1117/12.2580678

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Proceedings Article | 17 November 2020 Paper

Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media

V. Prischepa, V. Skiba, D. Vrazhnov, А. Markelov

Proceedings Volume 11582, 115821J (2020) https://doi.org/10.1117/12.2581568

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Proceedings Article | 17 November 2020 Paper

Imitation of ultra-sharp light focusing within turbid tissue-like scattering medium by using time-independent Helmholtz equation and method Monte Carlo

A. Buligin, Y. Kistenev, I. Meglinski, E. Danilkin, D. Vrazhnov

Proceedings Volume 11582, 115821N (2020) https://doi.org/10.1117/12.2582667

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SPIE Journal Paper | 28 February 2020

Imitation of optical coherence tomography images by wave Monte Carlo-based approach implemented with the Leontovich–Fock equation

Andrey Bulygin, Denis Vrazhnov, Elena Sim, Igor Meglinski, Yury Kistenev

OE, Vol. 59, Issue 06, 061626, (February 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.6.061626

KEYWORDS: Optical coherence tomography, Tissue optics, Monte Carlo methods, Biomedical optics, Wave propagation, Diffraction, Light wave propagation, Optical engineering, Visual process modeling, Refractive index

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Proceedings Article | 18 December 2019 Paper

Optical coherence tomography modeling method based on Leontovich – Fock equation

Yury Kistenev, A. Bulygin, Ekaterina Sandykova, Elena Sim, Denis Vrazhnov

Proceedings Volume 11208, 1120807 (2019) https://doi.org/10.1117/12.2540339

KEYWORDS: Optical coherence tomography, Diffraction, Reflectivity, Refractive index, Diagnostics, Elastography, Numerical analysis, Maxwell's equations, Computer simulations, Backscatter

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Proceedings Article | 18 December 2019 Paper

Modeling of IR laser radiation propagation in bio-tissues

Yury Kistenev, Andrey Buligin, Ekaterina Sandykova, Elena Sim, Denis Vrazhnov

Proceedings Volume 11208, 112081Q (2019) https://doi.org/10.1117/12.2540429

KEYWORDS: Atmospheric propagation, Refractive index, Optical coherence tomography, Infrared lasers, Tissue optics, Mathematical modeling, Numerical simulations, Laser beam propagation, Skin, Wave propagation

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Proceedings Article | 18 December 2019 Paper

Estimation of the collagen and elastin condition at lymphedema using multiphoton microscopy

Viktor Nikolaev, Ekaterina Sandykova, Oksana Kurochkina, Denis Vrazhnov, Natalia Krivova, Yury Kistenev, Elena Sim

Proceedings Volume 11208, 112080E (2019) https://doi.org/10.1117/12.2540604

KEYWORDS: Tissues, Collagen, Second-harmonic generation, Skin, Multiphoton microscopy, Photons, Image analysis, Lymphatic system, Tissue optics, Fluorescence lifetime imaging

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Proceedings Article | 19 July 2019 Paper

Lymphedema tissue analysis using optical imaging and gradient processing

Yury Kistenev, Alexey Borisov, Viktor Nikolaev, Denis Vrazhnov, Anastasya Knyazkova, Natalya Kryvova, Ekaterina Sandykova

Proceedings Volume 11073, 110731Z (2019) https://doi.org/10.1117/12.2526530

KEYWORDS: Multiphoton microscopy, Tissues, Optical coherence tomography, Tissue optics, Image processing, Lymphatic system, Image segmentation, Sensors, Image analysis, Optical imaging

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Proceedings Article | 1 March 2019 Presentation + Paper

Medical diagnosis using NIR and THz tissue imaging and machine learning methods

Yury Kistenev, Valery Tuchin, Alexey Borisov, Ekaterina Lazareva, Viktor Nikolaev, Daria Tuchina, Denis Vrazhnov, Irina Yu Yanina

Proceedings Volume 10877, 108770J (2019) https://doi.org/10.1117/12.2508166

KEYWORDS: Tissue optics, Tissues, Machine learning, Terahertz radiation, Medical diagnostics, Skin, Near infrared, Water, Image processing, Tumors

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Proceedings Article | 16 April 2018 Paper

The kernel construction for the biomedical data classification using support vector machine

D. Vrazhnov, V. Nikolaev, A. Shapovalov, E. Sandykova

Proceedings Volume 10614, 106141Y (2018) https://doi.org/10.1117/12.2303630

KEYWORDS: Chronic obstructive pulmonary disease, Statistical analysis, Biomedical optics, Absorption, Differential equations, Binary data, Gas lasers, Data modeling, Data mining, Diffusion

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Proceedings Article | 29 November 2016 Paper

Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

Yu. Kistenev, A. Shapovalov, D. Vrazhnov, V. Nikolaev

Proceedings Volume 10035, 100350A (2016) https://doi.org/10.1117/12.2249139

KEYWORDS: Filtering (signal processing), Denoising, Optical filters, Electronic filtering, Absorption filters, Absorption, Statistical analysis, Digital filtering, Chronic obstructive pulmonary disease, Analytical research

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Proceedings Article | 29 November 2016 Paper

Classification of patients with broncho-pulmonary diseases based on analysis of absorption spectra of exhaled air samples with SVM and neural network algorithm application

Yu. Kistenev, D. Kuzmin, D. Vrazhnov, A. Borisov

Proceedings Volume 10035, 1003507 (2016) https://doi.org/10.1117/12.2249130

KEYWORDS: Neural networks, Statistical analysis, Absorption, Evolutionary algorithms, Laser spectroscopy, Photoacoustic spectroscopy, Principal component analysis, Chronic obstructive pulmonary disease, Binary data, Matrices

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Proceedings Article | 15 December 2015 Paper

Applications of principal component analysis to breath air absorption spectra profiles classification

Yu. Kistenev, A. Shapovalov, A. Borisov, D. Vrazhnov, V. Nikolaev, O. Nikiforova

Proceedings Volume 9810, 98101Y (2015) https://doi.org/10.1117/12.2225565

KEYWORDS: Principal component analysis, Absorption, Chronic obstructive pulmonary disease, Digital filtering, Electronic filtering, Carbon monoxide, Optical filters, Interference (communication), Linear filtering, Numerical simulations

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Proceedings Article | 19 November 2015 Paper

Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy

Y. Kistenev, A. Shapovalov, D. Vrazhnov, V. Nikolaev, O. Nikiforova

Proceedings Volume 9680, 968049 (2015) https://doi.org/10.1117/12.2205777

KEYWORDS: Absorption, Principal component analysis, Data modeling, Chronic obstructive pulmonary disease, Biological research, Machine learning, Laser spectroscopy, Blood, Statistical modeling, Atmospheric optics

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Showing 5 of 23 publications

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