Xenios Papademetris has over thirty years of experience in medical image analysis, machine learning, and software development. He has been involved in a wide range of imaging projects, including cardiac image analysis, image-guided epilepsy neurosurgery, image-guided prostate biopsy, the development of methods for real-time fMRI, vascular image analysis, and general neuroimaging analysis. His work has employed both model-based approaches (including biomechanical and physiological models) and data-driven statistical and machine-learning methods. These projects span most major imaging modalities (MRI, CT, ultrasound, PET, SPECT, and optical imaging), a wide range of anatomical targets (brain, head, heart, vasculature, prostate, abdomen, and hindlimbs), and multiple species.
In addition to algorithmic research, he has been heavily involved in the development of medical image analysis software. His software work—closely integrated with his research—has focused on building image analysis tools both at Yale and as an industry consultant. His early work in the 1990s used C++ with Motif and OpenInventor on Silicon Graphics workstations. He later worked with C++/Tcl/VTK as part of the development of the original Yale BioImage Suite software package. More recently, his efforts have focused on creating web-based tools using a combination of JavaScript and C++ (via WebAssembly) to produce server-less applications that run directly in the browser. Many of these C++ algorithms are also available for use in Python and MATLAB workflows.
Beyond software development, he teaches a course on Medical Software at Yale, which formed the foundation for the textbook Introduction to Medical Software: Foundations for Digital Health, Devices and Diagnostics, published by Cambridge University Press in Summer 2022. He also developed a Coursera course titled Introduction to Medical Software, released in October 2021, which has enrolled more than 26,000 learners worldwide. He directs the Yale Certificate Program in Medical Software and Medical Artificial Intelligence and serves on technical standards committees at the Association for the Advancement of Medical Instrumentation (AAMI), focusing on software and artificial intelligence.
Papademetris received his BA from Cambridge University in 1994 in Electrical Engineering and Information Sciences with First Class Honours and earned his PhD in Electrical Engineering from Yale in 2000, where he was awarded the Harding Bliss Prize for Excellence in Engineering and Applied Science. He has been on the Yale faculty since 2003 and is currently a professor in the Departments of Biomedical Informatics and Data Science and of Radiology and Biomedical Imaging. He also serves as Associate Director for Biomedical Data Science at the Yale Biomedical Imaging Institute and as Director of the Yale Certificate Program in Medical Software and Medical Artificial Intelligence.