I am an assistant professor at the mathematics department of CentraleSupélec, University Paris-Saclay in France. I am also a part of the βiomathematics group of MICS Laboratory working on machine learning methods applied in medical applications.

I received a diploma in electrical and computer engineering at the Polytechnic School of the Aristotle University of Thessaloniki. Soon after, I joined the graduate school of the University of Bern, where I conducted my PhD at the ARTORG Center for Biomedical Engineering Research under the supervisison of Prof. Stavroula Mougiakakou. There, I focused on the design of computer-assisted diagnosis support systems for interstitial lung diseases using deep learning approaches. As a part of a doctoral mobility collaboration, Ι worked with Prof. Nikos Paragios on deep learning-based medical image registration pipelines at the Central Vision Numeric (CVN) of CentraleSupélec in Paris. I continued my research on computer-assisted approaches for healthcare as a fellow of the SNSF Early Postdoc Mobility grant at Gustave Roussy in Paris. Ι worked on computer-assisted precision medicine for breast cancer in collaboration with Prof. Fabrice Andre, Prof. Eric Deutsch, Prof. Laurence Zitvogel, Prof. Nikos Paragios and Prof. Maria Vakalopoulou as part of the Centre National de Médecine de Précision (PRISM).

Research Interests: Medical Image computing, Deep Learning, Multimodal Omics

Email: stergios [dot] christodoulidis [at] centralesupelec [dot] fr

Research Projects

Computational Pathology

Automatic quantification and biomarker estimation of whole slide images for prediction and prognosis

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Radiology Data Quantification

Deep Learning methods for the quantification of interstitial lung diseases.

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Learning Based Registration

Unsupervised registration using deep learning applied on medical and remote sensing data.

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