Keynote by Spyridon Bakas: The Federated Tumor Segmentation (FeTS) Initiative: Towards a paradigm-shift in multi-institutional collaborations

Spyridon Bakas, PhD, is an Instructor (Lecturer) at the Center for Biomedical Image Computing and Analytics (CBICA), with joint appointments between the Dept of Radiology and the Dept of Pathology & Laboratory Medicine at the Perelman School of Medicine of the University of Pennsylvania. He received his BSc degree in Computer Science from Kingston University, London, in 2006, his MSc degree in Vision, Imaging and Virtual Environments from University College London, 2007, and his PhD in Medical Image Computing and Analysis under a collaboration between King’s College London and Kingston University London in 2014. Since then he is with the CBICA at UPenn and his research interests focus on the development and application of advanced computational algorithms in oncological imaging, with the intention of improving the assessment, quantification and diagnosis of cancer in the current clinical practice. His work so far has spanned across the areas of image segmentation, feature extraction, statistical analysis, motion analysis, and machine learning techniques applied in brain magnetic resonance (MR), liver contrast-enhanced ultrasound (CEUS), and digitized histopathology, imaging data. The ultimate aim of his research is to contribute towards making diagnostic and treatment decisions more promptly, objectively, and precisely. He has co-authored more than 50 peer-reviewed manuscripts, 40 medical conference abstracts, and has been involved in the organization of various tutorials, workshops, and computational challenges at the Annual MICCAI, SNO, and RSNA meetings.