Develops algorithms with the intention of improving the cancer diagnosis

Develops algorithms with the intention of improving the cancer diagnosis

Spyridon Bakas is a Research Fellow at the Section of Biomedical Image Analysis (SBIA) and the Center for Biomedical Image Computing and Analytics (CBICA), Department of Radiology, of the Perelman School of Medicine, University of Pennsylvania. He is also a Visiting Researcher at Kingston University.

He lives in Philadelphia, Pennsylvania but he comes from Patras, Greece.  His research focuses on the development and application of computational algorithms in oncological imaging, with the intention of improving the assessment, quantification and diagnosis of cancer in the current clinical practice.

He is also involved in radiogenomic research where correlations between quantitative imaging features and genomic information lead to highly accurate imaging biomarkers, which can enable treatment selection models customized on an individual patient basis.

From 2001 to 2006 he studied Computer Science (Network Communications) at Kingston University. He obtained his master degree in Vision, Imaging and Virtual Environments at the University College London and he received his PhD in Medical Image Computing & Analysis from Kingston University.

He has published on several scientific journals and has received many honors including the First Prize in the MICCAI-BRATS 2015 Challenge, Best Clinical Research Presentation, Best Poster Award, Fully Funded Ph.D. Studentship and the Second Prize for Best Poster Presentation.