| Issue Date | Title | Author(s) |
| 2023 | Compressing a convolution neural network based on quantization | Pertsau, D.; Lukashevich, M.; Kupryianava, D. |
| 2023 | Compressing a convolution neural network based on quantization | Pertsau, D.; Lukashevich, M.; Kupryianava, D. |
| 2025 | Edge-guided and hierarchical aggregation network for robust medical image segmentation | Yi Tang; Di Zhao; Pertsau, D.; Gourinovitch, A.; Kupryianav, D. |
| 2025 | Enhanced A* Algorithm For Global Path Planning | Yi Tang; Pertsau, D.; Tatur, M. |
| 2023 | Image Segmentation Approaches Applied for the Earth's Surface | Kypriyanava, D.; Pertsau, D.; Tatur, M. |
| 2024 | LANet: Lightweight Attention Network for Medical Image Segmentation | Yi Tang; Pertsau, D.; Di Zhao; Kupryianava, D.; Tatur, M. |
| 2024 | Medical Image Segmentation with Graph Reasoning | Di Zhao; Yi Tang; Pertsau, D.; Kupryianava, D.; Gourinovitch, A. |
| 2025 | Multi-Constraint Enhanced DWA for Robust and Smooth Local Navigation | Yi Tang; Pertsau, D. |
| 2025 | Segmentation Algorithms in Processing Satellite Images | Pertsau, D.; Khatsianevich, A. |
| 2024 | The Study of Hardware Resources Usage on Examples of Convolutional Neural Network Implementation | Pertsau, D.; Tatur, M. |
| 2024 | Wearable Devices in Cardiovascular Medicine | Redzhepov, V.; Pertsau, D. |
