Gerda Bortsova

According to our database, Gerda Bortsova authored at least 21 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger

J. Imaging, 2022

2021

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.

Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne

Medical Image Anal., 2021

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT.

Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

CoRR, 2021

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images.

Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

CoRR, 2021

2020

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

Ruwan B. Tennakoon, Gerda Bortsova, Silas Nyboe Ørting, Amirali K. Gostar, Mathilde M. W. Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar

IEEE Trans. Medical Imaging, 2020

Weakly supervised object detection with 2D and 3D regression neural networks.

Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Medical Image Anal., 2020

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger

CoRR, 2020

2019

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.

Florian Dubost, Pinar Yilmaz, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

NeuroImage, 2019

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.

Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Medical Image Anal., 2019

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks.

Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne

CoRR, 2019

Hydranet: Data Augmentation for Regression Neural Networks.

Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation.

Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations.

Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Deep Learning from Label Proportions for Emphysema Quantification.

Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network.

Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.

Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.

Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2014

Building a Knowledge Base for Expert System in Information Security.

Lyazzat Atymtayeva, Kanat T. Kozhakhmet, Gerda Bortsova

Proceedings of the Soft Computing in Artificial Intelligence, 2014

Derivation of Complex Linguistic Summaries from Databases for a More Human Consistent Data Analysis.

Gerda Bortsova, Pakizar Shamoi

Proceedings of the 25th Modern Artificial Intelligence and Cognitive Science Conference 2014, 2014

2012

Methodology and ontology of expert system for information security audit.

Lyazzat B. Atymtayeva, Gerda K. Bortsova, Atsushi Inoue, Kanat T. Kozhakhmet

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Expert System for Security Audit Using Fuzzy Logic.

Kanat T. Kozhakhmet, Gerda Bortsova, Atsushi Inoue, Lyazzat Atymtayeva

Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012, 2012