Radboud University Medical Center
Ecem Lago Radboud University Medical Center ecem.lago@radboudumc.nl

PhD Candidate
E-mail: ecem.lago@radboudumc.nl
Phone: +31 24 3655793

Ecem Lago completed a Bachelor’s degree in Computer Science at Hacettepe University . On March 2017, she received her Master’s degree in Computer Science at the University of Freiburg with specialization in machine learning. She joined the Diagnostic Image Analysis Group as a PhD candidate on October 2017. Her research is focused on deep learning algorithms for Chest X-Rays, under the supervision of Bram van Ginneken and Clarisa Sánchez.


Ecem Sogancioglu,Keelin Murphy,Erdi Calli, Ernst Scholten, Steven Schalekamp, Bram van Ginneken

Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification Journal Article

IEEE Access, 8 , pp. 94631 - 94642, 2020, ISSN: 2169-3536.

Links | BibTeX


E. Calli, E. Sogancioglu, E.T. Scholten, K. Murphy; B. van Ginneken.

Handling label noise through model confidence and uncertainty: application to chest radiograph classification Inproceedings

Medical Imaging of Proceedings of the SPIE, 2019.



E. Sogancioglu, S. Hu, D. Belli; B. van Ginneken.

Chest X-ray Inpainting with Deep Generative Models Conference

arXiv:1809.01471, 2018.