I am an assistant professor at the Medical Image Analysis group at Eindhoven University of Technology. Before this I was a postdoc at the Biomedical Imaging Group Rotterdam, Erasmus Medical Center. Before that, I was a PhD student at the Pattern Recognition Laboratory, Delft University of Technology, and a visiting PhD student at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany.

My research focuses on machine learning in medical image analysis. Machine learning algorithms learn from examples in order to make predictions about novel data. For example, by learning from medical scans with annotated abnormalities, the algorithms can detect abnormalities in previously unseen patients. See my research/publications page for more details.

Another project is my blog, where I try to improve the experiences that others have in academia by sharing my own experiences as a PhD student, postdoc, and now faculty. Some popular posts are:

If you are interested in any of these topics, have a question about a publication etc, please get in touch!


10-14 September 2017: MICCAI 2017, LABELS workshop in Quebec City, Canada

June 2017: Talk on label stability in multiple instance learning at Benelearn 2017

Event archive

Recent news

July 2017: Two papers accepted at LABELS 2017: meta-learning in medical image analysis and crowdsourcing in chest CT images

January 2017: New preprint on classification of COPD now available on arXiV

December 2016: Our survey on multiple instance learning is now available on arXiv. Hats off to Marc-André Carbonneau who did most of the work!

December 2016: My tudelft.nl and erasmusmc.nl email addresses will soon no longer be active, please use v.cheplygina[at]tue.nl instead

November 2016: I’m excited to announce that I am joining the Medical Image Analysis group at Eindhoven University of Technology as an assistant professor from February 2017. My thoughts about this are here

Read all news here

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