Graduated with honors from Samara State Aerospace University in 2012, majoring in Applied Mathematics and Informatics. He works as an engineer at SRL-35 laboratory of Samara State Aerospace University and an intern researcher at the Image Processing Systems Institute of the Russian Academy of Sciences. His research interests currently focus on computer image processing, pattern recognition, mathematical modeling and theory of computation.
A. V. Gaidel, V. V. Podlipnov, N. A. Ivliev, R. A. Paringer, P. A. Ishkin, S. V. Mashkov, R. V. Skidanov, “Agricultural plant hyperspectral imaging dataset”, Computer Optics, 47:3 (2023), 442–450
J. D. Agafonova, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Kuznetsov, E. N. Surovtsev, A. V. Nikonorov, “Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions”, Computer Optics, 47:1 (2023), 152–159
2022
3.
V. V. Konevsky, A. V. Blagov, A. V. Gaidel, A. V. Kapishnikov, A. V. Kupriyanov, E. N. Surovtsev, D. G. Asatryan, “Improving the efficiency of brain MRI image analysis using feature selection”, Computer Optics, 46:4 (2022), 621–627
2021
4.
A. D. Fida, A. V. Gaidel, N. S. Demin, N. Yu. Ilyasova, E. A. Zamytskiy, “Automated combination of optical coherence tomography images and fundus images”, Computer Optics, 45:5 (2021), 721–727
A. A. Sludnova, V. V. Shutko, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Nikonorov, “Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images”, Computer Optics, 45:2 (2021), 261–266
J. D. Agafonova, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, “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
T. A. Pashina, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. V. Nikonorov, “Automatic highlighting of the region of interest in computed tomography images of the lungs”, Computer Optics, 44:1 (2020), 74–81
A. V. Gaidel, A. V. Kapishnikov, Yu. S. Pyshkina, A. V. Kolsanov, A. G. Khramov, “Method of nephroscintigraphic dynamic images analysis”, Computer Optics, 42:4 (2018), 688–694
A. V. Gaidel, A. G. Khramov, A. V. Kapishnikov, A. V. Kolsanov, Yu. S. Pyshkina, “A method for digital renal scintigram analysis based on brightness and geometric features”, Computer Optics, 41:1 (2017), 103–109
A. V. Gaidel, V. R. Krasheninnikov, “Feature selection for diagnozing the osteoporosis by femoral neck X-ray images”, Computer Optics, 40:6 (2016), 939–946
V. V. Kutikova, A. V. Gaidel, “Study of informative feature selection approaches for the texture image recognition problem using the Laws’ masks”, Computer Optics, 39:5 (2015), 744–750
A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov, A. G. Khramov, “Computed tomography texture analysis capabilities in diagnosing a chronic obstructive pulmonary disease”, Computer Optics, 38:4 (2014), 843–850
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