| Semi-supervised medical image segmentation via learning consistency under transformations G Bortsova, F Dubost, L Hogeweg, I Katramados, M Bruijne International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 88 | 2019 |
| Multi-task attention-based semi-supervised learning for medical image segmentation S Chen, G Bortsova, A García-Uceda Juárez, G Tulder, M Bruijne International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 78 | 2019 |
| Enlarged perivascular spaces in brain MRI: Automated quantification in four regions F Dubost, P Yilmaz, H Adams, G Bortsova, MA Ikram, W Niessen, ... Neuroimage 185, 534-544, 2019 | 63 | 2019 |
| Gp-unet: Lesion detection from weak labels with a 3d regression network F Dubost, G Bortsova, H Adams, A Ikram, WJ Niessen, M Vernooij, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 61 | 2017 |
| Building a knowledge base for expert system in information security L Atymtayeva, K Kozhakhmet, G Bortsova Soft computing in artificial intelligence, 57-76, 2014 | 44 | 2014 |
| 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI F Dubost, H Adams, G Bortsova, MA Ikram, W Niessen, M Vernooij, ... Medical image analysis 51, 89-100, 2019 | 41 | 2019 |
| Expert system for security audit using fuzzy logic K Kozhakhmet, G Bortsova, A Inoue, L Atymtayeva Midwest artificial intelligence and cognitive science conference, 146, 2012 | 25 | 2012 |
| Methodology and ontology of expert system for information security audit LB Atymtayeva, GK Bortsova, A Inoue, KT Kozhakhmet The 6th International Conference on Soft Computing and Intelligent Systems …, 2012 | 23 | 2012 |
| Deep learning from label proportions for emphysema quantification G Bortsova, F Dubost, S Ørting, I Katramados, L Hogeweg, L Thomsen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 21 | 2018 |
| Weakly supervised object detection with 2D and 3D regression neural networks F Dubost, H Adams, P Yilmaz, G Bortsova, G van Tulder, MA Ikram, ... Medical Image Analysis 65, 101767, 2020 | 20 | 2020 |
| Adversarial attack vulnerability of medical image analysis systems: Unexplored factors G Bortsova, C González-Gonzalo, SC Wetstein, F Dubost, I Katramados, ... Medical Image Analysis 73, 102141, 2021 | 16 | 2021 |
| Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks G Bortsova, G Tulder, F Dubost, T Peng, N Navab, A Lugt, D Bos, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 13 | 2017 |
| Some issues of development of intelligent system for information security auditing KT Kozhakhmet, GK Bortsova, LB Atymtayeva Proceedings of the World Congress on engineering 2, 2012 | 12 | 2012 |
| Hydranet: data augmentation for regression neural networks F Dubost, G Bortsova, H Adams, MA Ikram, W Niessen, M Vernooij, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 8 | 2019 |
| Classification of volumetric images using multi-instance learning and extreme value theorem R Tennakoon, G Bortsova, S Ørting, AK Gostar, MMW Wille, Z Saghir, ... IEEE transactions on medical imaging 39 (4), 854-865, 2019 | 8 | 2019 |
| Automated estimation of the spinal curvature via spine centerline extraction with ensembles of cascaded neural networks F Dubost, B Collery, A Renaudier, A Roc, N Posocco, W Niessen, ... International Workshop and Challenge on Computational Methods and Clinical …, 2019 | 6 | 2019 |
| DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset S Chatterjee, K Prabhu, M Pattadkal, G Bortsova, F Dubost, H Mattern, ... arXiv preprint arXiv:2006.10802, 2020 | 5 | 2020 |
| Expert System for Security Audit Using Fuzzy Logic, Kazakh-British Technical University, Tole bi st., 59, Almaty, Kazakhstan K Kozhakhmet, G Bortsova, A Inoue, L Atymtayeva MAICS, 2012 | 5 | 2012 |
| Ds6, deformation-aware semi-supervised learning: Application to small vessel segmentation with noisy training data S Chatterjee, K Prabhu, M Pattadkal, G Bortsova, C Sarasaen, F Dubost, ... arXiv preprint arXiv:2006.10802, 2020 | 4 | 2020 |
| Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images G Bortsova, F Dubost, L Hogeweg, I Katramados, M de Bruijne arXiv preprint arXiv:2104.00139, 2021 | 1 | 2021 |
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenGeverifieerd e-mailadres voor diku.dk
