| Issue Date | Title | Author(s) |
| 2021 | AI-based Retrospective Study for Revealing Diagnostic Errors in Chest X-ray Screening | Liauchuk, V.; Tarasau, A.; Kovalev, V. |
| 2023 | Assessing the Security of Personal Data in Large Scale chest X-Ray Image Screening | Kovalev, V. |
| 2017 | Benchmarking the efficiency of deep learning methods on the problem of predicting subjects’ age by chest radiographs | Kovalev, V.; Liauchuk, V.; Kalinovsky, A. A.; Shukelovich, A. |
| 2016 | Deep Learning in Big Image Data: Histology IMage Classification for Breast Cancer Diagnosis | Kovalev, V.; Kalinovsky, A. A.; Liauchuk, V. |
| 2017 | Deep learning in big medical image data | Kovalev, V.; Liauchuk, V.; Kalinovsky, A. A.; Snezhko, E.; Tuzikov, A. |
| 2023 | Generating Graphs With Specified Properties And Their Use For Constructing Scene Graphs From Images | Himbitski, A.; Himbitski, V.; Kovalev, V. |
| 2024 | Methods for Defending Deep Neural Networks Against Adversarial Attacks | Himbitski, V.; Varashevich, A.; Kovalev, V. |
| 2021 | Performance Analysis of Deep Learning Models for Heart Segmentation in Chest X-ray Images on a Small Dataset | Rdzhabov, A.; Kovalev, V. |
| 2024 | Problems of Privacy and Heterogeneity for Federated Learning Applications in Medical Image Analysis | Himbitski, A.; Zelenkovsky, V.; Zhydovich, M.; Kovalev, V. |
| 2021 | Small Image Training Sets: Exploring the Limits of Conventional and CNN-based Methods | Kovalev, V. |
