| Albumentations: fast and flexible image augmentations A Buslaev, VI Iglovikov, E Khvedchenya, A Parinov, M Druzhinin, ... Information 11 (2), 125, 2020 | 2189 | 2020 |
| Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation V Iglovikov, A Shvets arXiv preprint arXiv:1801.05746, 2018 | 780 | 2018 |
| Automatic instrument segmentation in robot-assisted surgery using deep learning AA Shvets, A Rakhlin, AA Kalinin, VI Iglovikov 2018 17th IEEE international conference on machine learning and applications …, 2018 | 433 | 2018 |
| One thousand and one hours: Self-driving motion prediction dataset J Houston, G Zuidhof, L Bergamini, Y Ye, L Chen, A Jain, S Omari, ... Conference on Robot Learning, 409-418, 2021 | 399 | 2021 |
| Deep convolutional neural networks for breast cancer histology image analysis A Rakhlin, A Shvets, V Iglovikov, AA Kalinin Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 392 | 2018 |
| Satellite imagery feature detection using deep convolutional neural network: A kaggle competition V Iglovikov, S Mushinskiy, V Osin arXiv preprint arXiv:1706.06169, 2017 | 242 | 2017 |
| Paediatric bone age assessment using deep convolutional neural networks VI Iglovikov, A Rakhlin, AA Kalinin, AA Shvets Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 241 | 2018 |
| Fully convolutional network for automatic road extraction from satellite imagery A Buslaev, S Seferbekov, V Iglovikov, A Shvets Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 210 | 2018 |
| Feature pyramid network for multi-class land segmentation S Seferbekov, V Iglovikov, A Buslaev, A Shvets Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 201 | 2018 |
| Ternausnetv2: Fully convolutional network for instance segmentation V Iglovikov, S Seferbekov, A Buslaev, A Shvets Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 185 | 2018 |
| 2017 robotic instrument segmentation challenge M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ... arXiv preprint arXiv:1902.06426, 2019 | 172 | 2019 |
| Superconducting transitions in flat-band systems VI Iglovikov, F Hébert, B Grémaud, GG Batrouni, RT Scalettar Physical Review B 90 (9), 094506, 2014 | 110 | 2014 |
| Geometry dependence of the sign problem in quantum Monte Carlo simulations VI Iglovikov, E Khatami, RT Scalettar Physical Review B 92 (4), 045110, 2015 | 103 | 2015 |
| Angiodysplasia detection and localization using deep convolutional neural networks AA Shvets, VI Iglovikov, A Rakhlin, AA Kalinin 2018 17th IEEE international conference on machine learning and applications …, 2018 | 95 | 2018 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 86 | 2020 |
| Medical image segmentation using deep neural networks with pre-trained encoders AA Kalinin, VI Iglovikov, A Rakhlin, AA Shvets Deep learning applications, 39-52, 2020 | 62 | 2020 |
| Effects of turbulent mixing on the nonequilibrium critical behaviour NV Antonov, VI Iglovikov, AS Kapustin Journal of Physics A: Mathematical and Theoretical 42 (13), 135001, 2009 | 43 | 2009 |
| Breast tumor cellularity assessment using deep neural networks A Rakhlin, A Tiulpin, AA Shvets, AA Kalinin, VI Iglovikov, S Nikolenko Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 28 | 2019 |
| Camera model identification using convolutional neural networks A Kuzin, A Fattakhov, I Kibardin, VI Iglovikov, R Dautov 2018 IEEE International Conference on Big Data (Big Data), 3107-3110, 2018 | 27 | 2018 |
| International Conference Image Analysis and Recognition A Rakhlin, A Shvets, V Iglovikov, AA Kalinin | 9 | 2018 |
Alexandr A. KalininPostdoctoral Associate, Broad Institute of MIT and HarvardVerified email at broadinstitute.org
