| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 3033 | 2017 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 297 | 2019 |
| ImageCLEF 2019: Multimedia retrieval in medicine, lifelogging, security and nature B Ionescu, H Müller, R Péteri, YD Cid, V Liauchuk, V Kovalev, D Klimuk, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 91 | 2019 |
| Overview of ImageCLEF 2018: Challenges, datasets and evaluation B Ionescu, H Müller, M Villegas, A García Seco de Herrera, C Eickhoff, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018 | 82 | 2018 |
| Overview of ImageCLEF 2017: Information extraction from images B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 70 | 2017 |
| Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ... Medical image analysis 82, 102605, 2022 | 61 | 2022 |
| Overview of the ImageCLEF 2020: Multimedia retrieval in medical, lifelogging, nature, and internet applications B Ionescu, H Müller, R Péteri, AB Abacha, V Datla, SA Hasan, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th …, 2020 | 52* | 2020 |
| Overview of the ImageCLEF 2021: Multimedia retrieval in medical, nature, internet and social media applications B Ionescu, H Müller, R Péteri, AB Abacha, M Sarrouti, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 48 | 2021 |
| Overview of ImageCLEFtuberculosis 2019: automatic CT-based report generation and tuberculosis severity assessment Y Dicente Cid, V Liauchuk, D Klimuk, A Tarasau, V Kovalev, H Müller Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 …, 2019 | 45 | 2019 |
| Overview of ImageCLEFtuberculosis 2018: detecting multi-drug resistance, classifying tuberculosis types and assessing severity scores Y Dicente Cid, V Liauchuk, V Kovalev, H Müller Proceedings of CLEF 2018 Working Notes, 2018 | 44 | 2018 |
| ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification. V Liauchuk, V Kovalev CLEF (Working Notes), 2017 | 31 | 2017 |
| Overview of ImageCLEF 2017 tuberculosis task: predicting tuberculosis type and drug resistances Y Dicente Cid, A Kalinovsky, V Liauchuk, V Kovalev, H Müller Proceedings of the CLEF 2017 working notes, 2017 | 30 | 2017 |
| Overview of the ImageCLEF 2017 Tuberculosis Task-Predicting Tuberculosis Type and Drug Resistances. YD Cid, A Kalinovsky, V Liauchuk, V Kovalev, H Müller CLEF (Working Notes), 2017 | 25 | 2017 |
| Overview of ImageCLEF tuberculosis 2020 automatic CT-based report generation S Kozlovski, V Liauchuk, Y Dicente Cid, A Tarasau, V Kovalev, H Müller Proceedings of the CLEF 2020-Conference and labs of the evaluation forum, 2020 | 23 | 2020 |
| Deep learning in big image data: Histology image classification for breast cancer diagnosis V Kovalev, AA Kalinovsky, V Liauchuk БГУИР, 2016 | 20 | 2016 |
| Utilizing radiological images for predicting drug resistance of lung tuberculosis V Kovalev, V Liauchuk, A Kalinovsky, A Rosenthal, A Gabrielian, ... Int. J. Comput. Assist. Radiol. Surg 10, S291-S292, 2015 | 19 | 2015 |
| Overview of ImageCLEFtuberculosis 2021: CT-based tuberculosis type classification S Kozlovski, V Liauchuk, Y Dicente Cid, V Kovalev, H Müller Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum, 2021 | 16 | 2021 |
| LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE A Kalinovsky, V Liauchuk, A Tarasau ISPRS - International Archives of the Photogrammetry, Remote Sensing and …, 2017 | 16 | 2017 |
| Biomedical image recognition in pulmonology and oncology with the use of deep learning VA Kovalev, VA Liauchuk, DM Voynov, AV Tuzikov Pattern Recognition and Image Analysis 31, 144-162, 2021 | 11 | 2021 |
| ImageCLEF 2019: Projection-based CT Image Analysis for TB Severity Scoring and CT Report Generation V Liauchuk CLEF2019 Working Notes 2380, 2019 | 11 | 2019 |
Vassili KovalevUnited Institute of InformaticsVerified email at bsu.by
