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Richard Bortsov
Richard Bortsov
Other namesGerda Bortsova
Erasmus MC
Verified email at erasmusmc.nl
Title
Cited by
Cited by
Year
Semi-supervised medical image segmentation via learning consistency under transformations
G Bortsova, F Dubost, L Hogeweg, I Katramados, M De Bruijne
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1942019
Multi-task attention-based semi-supervised learning for medical image segmentation
S Chen, G Bortsova, A García-Uceda Juárez, G Van Tulder, M De Bruijne
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1472019
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
922019
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
822017
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
702021
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
582019
Building a knowledge base for expert system in information security
L Atymtayeva, K Kozhakhmet, G Bortsova
Soft computing in artificial intelligence, 57-76, 2014
472014
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
402020
Deep learning from label proportions for emphysema quantification
G Bortsova, F Dubost, S Ørting, I Katramados, L Hogeweg, L Thomsen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
312018
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
242012
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
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
192019
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, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
182017
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, ...
Journal of Imaging 8 (10), 259, 2022
16*2022
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, ...
Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020
162020
Hydranet: data augmentation for regression neural networks
F Dubost, G Bortsova, H Adams, MA Ikram, W Niessen, M Vernooij, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
162019
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT
G Bortsova, D Bos, F Dubost, MW Vernooij, MK Ikram, G van Tulder, ...
Radiology: Artificial Intelligence 3 (5), e200226, 2021
102021
Some issues of development of intelligent system for information security auditing
L Atymtayeva, K Kozhakhmet, G Bortsova
Proceedings of the International conference of Computational Intelligence …, 2012
82012
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
62021
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, ...
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
12016
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