Gaydel, Andrey V.

2023

• 1 Agafonova Y.D., Gaidel A.V., Zelter P.M. etc. Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 152-159
• 2 Gaidel A.V., Podlipnov V.V., Ivliev N.A. etc. Agricultural plant hyperspectral imaging dataset // Computer Optics 2023. — Vol. 47. Issue 3. № 3. — P. 442-450
• 3 Konevsky V., Gaidel A., Asatryan D. etc. Multiclass classification of texture images using greedy feature selection algorithms // AIP Conference Proceedings. — 2023. — Vol. 2757.

2022

• 1 Konevsky V.V., Blagov A.V., Gaidel A.V. etc. Improving the efficiency of brain MRI image analysis using feature selection // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 621-627
• 2 Tislenko M.D., Gaidel A.V., Kupriyanov A.V. Comparison of feature selection algorithms for Data classification problems // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —

2021

• 1 Kolsanov A., Popov N., Aiupova I. etc. Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Agafonova Y., Gaidel A., Surovtsev E. etc. Segmentation of meningiomas in MRI of the brain using deep learning methods // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Demin N., Ilyasova N., Gaidel A. Information technology for estimation accuracy of selection macular edema region in fundus images using OCT data // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 4 Kilbas I., Paringer R., Gaidel A. etc. A neural network model for tracking marker objects in a video // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 5 Kolsanov A.V., Popov N.V., Ayupova I.O. etc. Cephalometric analysis of lateral skull X-ray images using soft computing components in the search for key points // Stomatologiia 2021. — Vol. 100. Issue 4. — P. 63-67
• 6 Bondarenko N.P., Gaidel A.V. Solvability and stability of the inverse problem for the quadratic differential pencil // MATHEMATICS 2021. — Vol. 9. Issue 20.
• 7 Sludnova A.A., Shutko V.V., Gaidel A.V. etc. Identification of pathological changes in the lungs using an analysis of radiological reports and tomographic images // Computer Optics 2021. — Vol. 45. Issue 2. — P. 261-266
• 8 Fida A.D., Gaidel A.V., Demin N.S. etc. Automated combination of optical coherence tomography images and fundus images // Computer Optics 2021. — Vol. 45. Issue 5. — P. 721-727

2020

• 1 Musin K., Gaidel A. Machine learning algorithms in the prediction of conflicts in clinical classification of genetic variants // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 179-182
• 2 Agafonova Yuliya Dmitrievna, Gaydel A.V., Zelter P.M. etc. Сверточная нейронная сеть для обнаружения патологий на изображениях МРТ головного мозга // VI международная конференция и молодежная школа "Информационные технологии и нанотехнологии" . — 2020. — Vol. 2. — P. 181-188
• 3 Pashina T.A., Gaidel A.V., Zelter P.M. etc. Automatic highlighting of the region of interest in computed tomography images of the lungs // Computer Optics 2020. — Vol. 44. Issue 1. — P. 74-81
• 4 Agafonova Y.D., Gaidel A.V., Zelter P.M. etc. Efficiency of machine learning algorithms and convolutional neural network for detection of pathological changes in mr images of the brain // Computer Optics 2020. — Vol. 44. Issue 2. — P. 266-273
• 5 Agafonova Y., Gaidel A., Zelter P. etc. Convolutional neural network for detection of pathological changes in MR images of the brain // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 37-40
• 6 Dobratulin K., Gaidel A., Kapishnikov A. etc. The efficiency of deep learning algorithms for detecting anatomical reference points on radiological images of the head profile // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 7 Agafonova Y.D., Gaidel A.V., Surovtsev E.N. etc. Meningioma detection in mr images using convolutional neural network and computer vision methods // Journal of Biomedical Photonics and Engineering 2020. — Vol. 6. Issue 3.

2019

• 1 Dobratulin Konstantin Sergeevich, Ayupova Irina Olegovna, Gaydel A.V. etc. Локализация анатомических ориентиров на рентгеновских изображениях профиля головы // Advanced Information Technologies and Scientific Computing (PIT 2019): Proceedings of the International Scientific Conference /Ed. S.A. Prokhorov. — 2019. — P. 374-379

2018

• 1 Gaidel A.V. Polynomial feature engineering for classification of textural images // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 2 Gaidel A.V., Kapishnikov A.V., Pyshkina Y.S. etc. Method of nephroscintigraphic dynamic images analysis // Computer Optics 2018. — Vol. 42. Issue 4. — P. 688-694
• 3 Turkova M.A., Gaidel A.V. Correlative features for the classification of textural images // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 14-20
• 4 Goncharova E.F., Gaidel A.V. Greedy algorithms of feature selection for multiclass image classification // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 38-46

2017

• 1 Goncharova E., Gaidel A. Feature selection methods for remote sensing images classification // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 86-91
• 2 Gaidel A. Method of automatic ROI selection on lung CT images // Procedia Engineering. — 2017. — Vol. 201. — P. 258-264
• 3 Gaidel A.V., Khramov A.G., Kapishnikov A.V. etc. A method for digital renal scintigram analysis based on brightness and geometric features // Computer Optics 2017. — Vol. 41. Issue 1. — P. 103-109

2016

• 1 Gaidel A.V. Adjusted polynomial features for analysis of lung CT images // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 313-319
• 2 Gaidel A.V., Krasheninnikov V.R. Feature selection for diagnozing the osteoporosis by femoral neck X-ray images // Computer Optics 2016. — Vol. 40. Issue 6. — P. 939-946
• 3 Gaidel A.V. Matched polynomial features for the analysis of grayscale biomedical images // Computer Optics 2016. — Vol. 40. Issue 2. — P. 232-239
• 4 Kutikova V.V., Gaidel A.V., Khramov A.G. Feature selection in the effectiveness research of a training program for patients with the atrial fibrillation // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 902-908

2015

• 1 Gaidel A., Khramov A. Application of texture analysis for automated osteoporosis diagnostics by plain hip radiography // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 2. — P. 301-305
• 2 Kutikova V.V., Gaydel A.V. Исследование методов отбора информативных признаков для задачи распознавания текстурных изображений с помощью масок Лавса // Computer Optics 2015. — Vol. 39. № 5. — P. 744-750
• 3 Kutikova V.V., Gaidel A.V. Study of informative feature selection approaches for the texture image recognition problem using Laws’ masks // Computer Optics 2015. — Vol. 39. Issue 5. — P. 744-750
• 4 Gaidel A.V., Zelter P.M., Kapishnikov A.V. etc. Possibilities of texture analysis of computed tomogram in diagnosis of chronic obstructive disease // Optical Memory and Neural Networks (Information Optics) 2015. — Vol. 24. Issue 3. — P. 240-248
• 5 Gaidel A.V. A Method for Adjusting Directed Texture Features in Biomedical Image Analysis Problems // Computer Optics 2015. — Vol. 39. Issue 2. — P. 287-293

2014

• 1 Gaidel A.V., Zelter P.M., Kapishnikov A.V. etc. Computed tomography texture analysis capabilities in diagnosing a chronic obstructive pulmonary disease // Computer Optics 2014. — Vol. 38. Issue 4. — P. 843-850

2013

• 1 Gaidel A.V., Pervushkin S.S. Research of the textural features for the bony tissue diseases diagnostics using the roentgenograms // Computer Optics 2013. — Vol. 37. Issue 1. — P. 113-119