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).
Email: stergios [dot] christodoulidis [at] centralesupelec [dot] fr
Sopa, our technology-invariant pipeline for spatial omics analysis that scales to millions of cells, is now published at @NatureComms! You can find more details here
Glad to organize the tutorial on Computational Pathology together with Maria Vakalopoulou for ISBI 2024 in Athens!
Our abstract on breast cancer diagnosis from fine-needle aspiration cytology whole slide images has been accepted for a poster presentation on ESMO Breast 2024 in Berlin!
Together with Enzo Ferantte we are looking for a PhD student within the COFUND DeMythif.AI program! You can find more details here (deadline: 24/01/2024).
Quantification and biomarker discovery for patient derived organoids
More DetailsAutomatic quantification and biomarker discovery of whole slide images for prediction and prognosis
More DetailsUnsupervised registration using deep learning applied on medical and remote sensing data.
More DetailsDeep Learning methods for the quantification of interstitial lung diseases.
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