Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining
M. Dobko, D-I. Kolinko, O. Viniavskyi, Y. Yelisieiev
BRATS 2021 challenge, preprint – arXiv
Transformer-based Self-supervised Learning for Medical Images
M. Kokshaikyna, M. Dobko
WiML at NeurIPS 2021 poster session, medium blog
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
O. Viniavskyi, M. Dobko, O. Dobosevych
International Conference on Artificial Intelligence in Medicine, AIME 2020. paper, code
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation
M. Dobko, O. Viniavskyi, O. Dobosevych
The 2020 Learning from Imperfect Data (LID) Challenge – CVPR Workshops. arXiv, code
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
M. Dobko, B. Petryshak, O. Dobosevych
CVWWW 2020, Rogaska Slatina, Slovenia. arXiv, code, proceedings
Classification of the Coronary Artery Stenosis Score in Multiplanar Reconstruction Images
M. Dobko, B. Petryshak, O. Dobosevych
Accepted to WiML workshop at NeurIPS 2019, Vancouver, Canada. Presented during poster session.
Lung Nodule Detection in Computed Tomography Scans Using Deep Learning
M. Dobko, Supervisor: Dr. Jan Kybic
Bachelor’s thesis, June 2019. paper, code