| PyTorch Image Quality: Metrics for Image Quality Assessment S Kastryulin, J Zakirov, D Prokopenko, DV Dylov arXiv preprint arXiv:2208.14818, 2022 | 41 | 2022 |
| PyTorch Image Quality: Metrics and measure for image quality assessment S Kastryulin, D Zakirov, D Prokopenko Open-source software available at https://github.com/photosynthesis-team/piq, 2019 | 38* | 2019 |
| Unpaired synthetic image generation in radiology using gans D Prokopenko, JV Stadelmann, H Schulz, S Renisch, DV Dylov Artificial Intelligence in Radiation Therapy: First International Workshop …, 2019 | 26 | 2019 |
| Synthetic CT Generation from MRI Using Improved DualGAN D Prokopenko, JV Stadelmann, H Schulz, S Renisch, DV Dylov | 12 | 2019 |
| The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning D Prokopenko, K Hammernik, T Roberts, DFA Lloyd, D Rueckert, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis …, 2023 | 3 | 2023 |
| Deep Learning Reconstruction of Dynamic Free-breathing Fetal Heart MRI to Improve Clinical Pipeline D Prokopenko, D Rueckert, JV Hajnal | 1 | 2023 |
| The developing Human Connectome Project fetal functional MRI release: Methods and data structures VR Karolis, L Cordero-Grande, AN Price, E Hughes, SP Fitzgibbon, ... Imaging Neuroscience, 2025 | | 2025 |
| DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI D Prokopenko, DFA Lloyd, A Chiribiri, D Rueckert, JV Hajnal arXiv preprint arXiv:2412.15342, 2024 | | 2024 |
| QUASAR: QUality and Aesthetics Scoring with Advanced Representations S Kastryulin*, D Prokopenko*, A Babenko, DV Dylov IEEE Access, 2024 | | 2024 |
Sergey KastryulinYandex ResearchEmail verificata su yandex-team.ru
