| 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 | 454 | 2018 |
| 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 | 409 | 2018 |
| 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 | 247 | 2018 |
| Land cover classification from satellite imagery with u-net and lovász-softmax loss A Rakhlin, A Davydow, S Nikolenko Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 136 | 2018 |
| Diabetic retinopathy detection through integration of deep learning classification framework A Rakhlin BioRxiv, 225508, 2017 | 97 | 2017 |
| 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 | 96 | 2018 |
| 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 | 63 | 2020 |
| ColocML: machine learning quantifies co-localization between mass spectrometry images K Ovchinnikova, L Stuart, A Rakhlin, S Nikolenko, T Alexandrov Bioinformatics 36 (10), 3215-3224, 2020 | 40 | 2020 |
| Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ... Journal of Medical Imaging 8 (3), 034501-034501, 2021 | 29 | 2021 |
| DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks L Rappez, A Rakhlin, A Rigopoulos, S Nikolenko, T Alexandrov Molecular systems biology 16 (10), e9474, 2020 | 29 | 2020 |
| 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 | 29 | 2019 |
| ResNet I Amaya-Rodriguez, I Amaya-Rodriguez, J Civit-Masot, F Luna-Perejon, ... Computer-Aided Analysis of Gastrointestinal Videos, 99-114, 2021 | 1 | 2021 |
Alexandr A. KalininComputational Scientist, Broad Institute of MIT and HarvardПодтвержден адрес электронной почты в домене broadinstitute.org
Alexey ShvetsZephyr AIПодтвержден адрес электронной почты в домене zephyrai.bio
Vladimir I. IglovikovCEO at Albumentations.AIПодтвержден адрес электронной почты в домене ucdavis.edu
Sergey NikolenkoSteklov Institute of Mathematics at St. Petersburg, RussiaПодтвержден адрес электронной почты в домене logic.pdmi.ras.ru
Theodore AlexandrovUCSDПодтвержден адрес электронной почты в домене embl.de
Aleksei TiulpinUniversity of OuluПодтвержден адрес электронной почты в домене oulu.fi
Luca RappezEMBLПодтвержден адрес электронной почты в домене embl.es
