| A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation D Alukaev, S Kiselev, T Mustafaev, A Ainur, B Ibragimov, T Vrtovec European Spine Journal 31 (8), 2115-2124, 2022 | 21 | 2022 |
| Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification IEI Bekkouch, B Maksudov, S Kiselev, T Mustafaev, T Vrtovec, ... Medical Image Analysis 78, 102417, 2022 | 14 | 2022 |
| Evaluation of deep learning methods for bone suppression from dual energy chest radiography I Sirazitdinov, K Kubrak, S Kiselev, A Tolkachev, M Kholiavchenko, ... Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 6 | 2020 |
| Cross-modal conceptualization in bottleneck models D Alukaev, S Kiselev, I Pershin, B Ibragimov, V Ivanov, A Kornaev, I Titov arXiv preprint arXiv:2310.14805, 2023 | 3 | 2023 |
| A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis B Ibragimov, K Arzamasov, B Maksudov, S Kiselev, A Mongolin, ... Scientific Reports 13 (1), 1135, 2023 | 3 | 2023 |
| Automating cardiothoracic ratio measurements in chest X-rays S Kiselev, B Maksudov, T Mustafaev, R Kuleev, B Ibragimov 2021 International Conference" Nonlinearity, Information and Robotics"(NIR), 1-4, 2021 | | 2021 |
| Automated Localization of Lung Nodules from Chest X-rays With Deep Neural Networks B Maksudov, S Kiselev, M Kholiavchenko, T Mustafaev, R Kuleev, ... International Journal of Radiation Oncology, Biology, Physics 108 (3), e294, 2020 | | 2020 |
| Text summariztion S Kiselev | | |
