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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
V. A. Pavlov, A. A. Belov, S. V. Volvenko, A. V. Rashich, “Application of convolutional neural networks trained on optical images for object detection in radar images”, Computer Optics, 48:2 (2024), 253–259  |
| 2. |
F. Shariaty, V. A. Pavlov, M. U. Surakov, “Comparison and selection of radiomic and deep convolutional features for improving the accuracy of CT-image texture classification”, Computing, Telecommunication and Control, 17:2 (2024), 62–70 |
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2023 |
| 3. |
F. Shariaty, H. Caiqin, V. A. Pavlov, L. Duan, S. V. Zavyalov, T. M. Pervunina, W. Ying, “Integrating quantitative and convolutional features to enhance the efficiency of pathology classification in CT imaging”, Computing, Telecommunication and Control, 16:4 (2023), 60–69 |
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2022 |
| 4. |
V. Pavlov, A. Tuzova, A. Belov, Y. Matveev, “An automated method for finding the optimal parameters of adaptive filters for speckle denoising of SAR images”, Computer Optics, 46:6 (2022), 914–920 |
| 5. |
F. Shariaty, S. V. Zavyalov, V. A. Pavlov, T. M. Pervunina, M. Orooji, “Inf-Seg: automatic segmentation and quantification method for CT-based COVID-19 diagnosis”, Computing, Telecommunication and Control, 15:3 (2022), 7–21 |
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