Erasmus Medical Center
Gerda Bortsova Erasmus Medical Center

PhD candidate
Phone: +31-10-7038875

Gerda received a Bachelor of Science degree in Information Systems from Kazakh-British Technical University (Almaty, Kazakhstan) in 2014 and a Master of Science degree in Informatics from Technical University of Munich (TUM) in 2017. The main focus of her Master’s program was computer vision, machine learning and artificial intelligence. As a part of her studies, she was involved in several projects on development of novel machine learning algorithms for biomedical image analysis under supervision of Dr. Tingying Peng, Prof. Dr. Nassir Navab (Computer Aided Medical Procedures, TUM) and Prof. Marleen de Bruijne (BIGR, Erasmus MC).

In April 2017, Gerda started her PhD at the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus Medical Center. The focus of her PhD project is Weakly Labeled Deep Learning with applications to medical image analysis.


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

Automated Assessment of Intracranial Carotid Artery Calcification in Non-Contrast CT Using Deep Learning Journal Article Forthcoming




Ruwan Tennakoon, Gerda Bortsova, Silas Ørting, Amirali K Gostar, Mathilde MW Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar

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

IEEE Transactions on Medical Imaging, 39 (4), pp. 854-865, 2019.

Abstract | Links | BibTeX


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

Semi-supervised medical image segmentation via learning consistency under transformations Inproceedings

International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 810-818, Springer, Cham, 2019.

Abstract | Links | BibTeX


G. Bortsova, F. Dubost, S. Ørting, I. Katramados, L. Hogeweg, L. Thomsen, M. Wille, M. de Bruijne

Deep learning from label proportions for emphysema quantification Inproceedings

International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 768–776, Springer, Cham, 2018.

Abstract | Links | BibTeX


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

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors Conference


Abstract | Links | BibTeX

C. González-Gonzalo, S. C. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken, C. I. Sánchez

Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings? Conference

European Society of Retina Specialists, 2020.

Abstract | Links | BibTeX