Gerda Bortsova
Gerda Bortsova
Erasmus MC
Verified email at erasmusmc.nl
Title
Cited by
Cited by
Year
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
442017
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
362019
Building a knowledge base for expert system in information security
L Atymtayeva, K Kozhakhmet, G Bortsova
Soft computing in artificial intelligence, 57-76, 2014
362014
Semi-supervised medical image segmentation via learning consistency under transformations
G Bortsova, F Dubost, L Hogeweg, I Katramados, M de Bruijne
International Conference on Medical Image Computing and Computer-Assisted …, 2019
352019
Multi-task attention-based semi-supervised learning for medical image segmentation
S Chen, G Bortsova, AGU Juárez, G van Tulder, M de Bruijne
International Conference on Medical Image Computing and Computer-Assisted …, 2019
322019
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
232019
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
202012
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
202012
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
132018
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
102020
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
G Bortsova, G van Tulder, F Dubost, T Peng, N Navab, A van der Lugt, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
102017
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
102012
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
62019
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
G Bortsova, C González-Gonzalo, SC Wetstein, F Dubost, I Katramados, ...
Medical Image Analysis, 102141, 2021
22021
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
22019
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
12020
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
12019
Mitosis detection in intestinal crypt images with hough forest and conditional random fields
G Bortsova, M Sterr, L Wang, F Milletari, N Navab, A Böttcher, H Lickert, ...
International Workshop on Machine Learning in Medical Imaging, 287-295, 2016
12016
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Noncontrast CT
G Bortsova, D Bos, F Dubost, MW Vernooij, MK Ikram, G van Tulder, ...
Radiology: Artificial Intelligence, e200226, 2021
2021
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
2021
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