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Gerda Bortsova
Gerda Bortsova
Erasmus MC
Geverifieerd e-mailadres voor erasmusmc.nl
Titel
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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
882019
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
782019
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
632019
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
612017
Building a knowledge base for expert system in information security
L Atymtayeva, K Kozhakhmet, G Bortsova
Soft computing in artificial intelligence, 57-76, 2014
442014
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
412019
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
252012
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
232012
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
212018
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
202020
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
162021
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
132017
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
122012
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
82019
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
82019
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
62019
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
52020
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
52012
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
42020
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
12021
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Artikelen 1–20