| CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification M Goncharov, M Pisov, A Shevtsov, B Shirokikh, A Kurmukov, I Blokhin, ... Medical image analysis 71, 102054, 2021 | 89 | 2021 |
| Universal loss reweighting to balance lesion size inequality in 3D medical image segmentation B Shirokikh, A Shevtsov, A Kurmukov, A Dalechina, E Krivov, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 24 | 2020 |
| Accelerating 3D medical image segmentation by adaptive small-scale target localization B Shirokikh, A Shevtsov, A Dalechina, E Krivov, V Kostjuchenko, ... Journal of Imaging 7 (2), 35, 2021 | 16 | 2021 |
| Deep learning for brain tumor segmentation in radiosurgery: prospective clinical evaluation B Shirokikh, A Dalechina, A Shevtsov, E Krivov, V Kostjuchenko, ... International MICCAI Brainlesion Workshop, 119-128, 2019 | 7 | 2019 |
| Systematic clinical evaluation of a deep learning method for medical image segmentation: radiosurgery application B Shirokikh, A Dalechina, A Shevtsov, E Krivov, V Kostjuchenko, ... IEEE Journal of Biomedical and Health Informatics 26 (7), 3037-3046, 2022 | 3 | 2022 |
| Обратное взвешивание кросс-энтропии для улучшения качества сегментации очагов рака легкого А Шевцов, Б Широких, М Беляев Информационные технологии и системы 2019 (ИТиС 2019), 455-462, 2019 | | 2019 |
| Классификация метастаз головного мозга по анатомическим областям А Шевцов, Е Кривов, М Беляев ИТиС 2018, 68-75, 2018 | | 2018 |
Boris ShirokikhPhD Student @ Skolkovo Institute of Science and TechnologyVerified email at phystech.edu
