| Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification S Korolev, A Safiullin, M Belyaev, Y Dodonova The IEEE International Symposium on Biomedical Imaging 2017, 835-838, 2017 | 544 | 2017 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 348 | 2019 |
| ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ... Frontiers in neurology 9, 679, 2018 | 179 | 2018 |
| 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 | 92 | 2021 |
| 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017) S Korolev, A Safiullin, M Belyaev, Y Dodonova IEEE, 2017 | 76 | 2017 |
| Gtapprox: Surrogate modeling for industrial design M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ... Advances in Engineering Software 102, 29-39, 2016 | 71 | 2016 |
| Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging Y Shmulev, M Belyaev Integrating Medical Imaging and Non-Imaging Modalities, 83-91, 2018 | 45 | 2018 |
| Surrogate modeling of stability constraints for optimization of composite structures S Grihon, E Burnaev, M Belyaev, P Prikhodko Surrogate-based modeling and optimization: Applications in engineering, 359-391, 2013 | 40 | 2013 |
| Gaussian process regression for structured data sets M Belyaev, E Burnaev, Y Kapushev International Symposium on Statistical Learning and Data Sciences, 106-115, 2015 | 37 | 2015 |
| Ensembling neural networks for digital pathology images classification and segmentation A Pimkin, G Makarchuk, V Kondratenko, M Pisov, E Krivov, M Belyaev Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 36 | 2018 |
| 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 | 35 | 2020 |
| Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification M Pisov, V Kondratenko, A Zakharov, A Petraikin, V Gombolevskiy, ... International Conference on Medical Image Computing and Computer Assisted …, 2020 | 30 | 2020 |
| Interpretable vertebral fracture quantification via anchor-free landmarks localization A Zakharov, M Pisov, A Bukharaev, A Petraikin, S Morozov, ... Medical Image Analysis 83, 102646, 2023 | 29 | 2023 |
| First U-Net layers contain more domain specific information than the last ones B Shirokikh, I Zakazov, A Chernyavskiy, I Fedulova, M Belyaev Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 27 | 2020 |
| Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection M Pisov, M Goncharov, N Kurochkina, S Morozov, V Gombolevskiy, ... Interpretability of Machine Intelligence in Medical Image Computing and …, 2019 | 27 | 2019 |
| Computationally efficient algorithm for Gaussian Process regression in case of structured samples M Belyaev, E Burnaev, Y Kapushev Computational Mathematics and Mathematical Physics 56, 499-513, 2016 | 26 | 2016 |
| Anatomy of Domain Shift Impact on U-net Layers in MRI Segmentation I Zakazov, B Shirokikh, A Chernyavskiy, M Belyaev International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 24 | 2021 |
| Exact inference for gaussian process regression in case of big data with the cartesian product structure M Belyaev, E Burnaev, Y Kapushev arXiv preprint arXiv:1403.6573, 2014 | 24 | 2014 |
| Dimensionality reduction with isomap algorithm for EEG covariance matrices E Krivov, M Belyaev 2016 4th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2016 | 21 | 2016 |
| Approximation of a multidimensional dependency based on linear expansion in a dictionary of parametric functions MG Belyaev, EV Burnaev Informatics and its applications 7 (3), 114-125, 2013 | 21 | 2013 |
Boris ShirokikhResearch Scientist @ AIRIBestätigte E-Mail-Adresse bei phystech.edu
