| Weakly-supervised segmentation for disease localization in chest x-ray images O Viniavskyi, M Dobko, O Dobosevych Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 24 | 2020 |
| OpenGlue: Open source graph neural net based pipeline for image matching O Viniavskyi, M Dobko, D Mishkin, O Dobosevych arXiv preprint arXiv:2204.08870, 2022 | 8 | 2022 |
| Combining CNNs with transformer for multimodal 3D MRI brain tumor segmentation with self-supervised pretraining M Dobko, DI Kolinko, O Viniavskyi, Y Yelisieiev arXiv preprint arXiv:2110.07919, 2021 | 4 | 2021 |
| LID 2020: The learning from imperfect data challenge results Y Wei, S Zheng, MM Cheng, H Zhao, L Wang, E Ding, Y Yang, A Torralba, ... arXiv preprint arXiv:2010.11724, 2020 | 3 | 2020 |
| CNN-CASS: CNN for classification of coronary artery stenosis score in MPR images M Dobko, B Petryshak, O Dobosevych arXiv preprint arXiv:2001.08593, 2020 | 3 | 2020 |
| Combining CNNs with transformer for multimodal 3D MRI brain tumor segmentation M Dobko, DI Kolinko, O Viniavskyi, Y Yelisieiev International MICCAI Brainlesion Workshop, 232-241, 2021 | 2 | 2021 |
| Mask Classification-Based Method For Polyps Segmentation and Detection. M Kokshaikyna, Y Yelisieiev, M Dobko EndoCV@ ISBI, 35-39, 2022 | 1 | 2022 |
| Lung nodule and cancer detection in computed tomography scans using deep learning M Dobko Bachelor Thesis, Department of Computer Sciences, Ukrainian Catholic …, 2019 | 1 | 2019 |
| Lung Nodule Detection in Computed Tomography Scans Using Deep Learning M Dobko | 1 | 2019 |
| NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation M Dobko, O Viniavskyi, O Dobosevych arXiv preprint arXiv:2006.07601, 2020 | | 2020 |
Ostap ViniavskyiUkrainian Catholic UniversityVerified email at ucu.edu.ua
