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Publications in Math-Net.Ru
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Agricultural plant hyperspectral imaging dataset
Computer Optics, 47:3 (2023), 442–450
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Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions
Computer Optics, 47:1 (2023), 152–159
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Improving the efficiency of brain MRI image analysis using feature selection
Computer Optics, 46:4 (2022), 621–627
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Automated combination of optical coherence tomography images and fundus images
Computer Optics, 45:5 (2021), 721–727
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Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images
Computer Optics, 45:2 (2021), 261–266
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Efficiency of machine learning algorithms and convolutional neural network for detection of pathological changes in MR images of the brain
Computer Optics, 44:2 (2020), 266–273
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Automatic highlighting of the region of interest in computed tomography images of the lungs
Computer Optics, 44:1 (2020), 74–81
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Method of nephroscintigraphic dynamic images analysis
Computer Optics, 42:4 (2018), 688–694
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A method for digital renal scintigram analysis based on brightness and geometric features
Computer Optics, 41:1 (2017), 103–109
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Feature selection for diagnozing the osteoporosis by femoral neck X-ray images
Computer Optics, 40:6 (2016), 939–946
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Matched polynomial features for the analysis of grayscale biomedical images
Computer Optics, 40:2 (2016), 232–239
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Study of informative feature selection approaches for the texture image recognition problem using the Laws’ masks
Computer Optics, 39:5 (2015), 744–750
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A method for adjusting directed texture features in biomedical image analysis problems
Computer Optics, 39:2 (2015), 287–293
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Computed tomography texture analysis capabilities in diagnosing a chronic obstructive pulmonary disease
Computer Optics, 38:4 (2014), 843–850
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