of algorithms for the automated quantitative analysis of magnetic resonance imaging data. He has established collaborations with multinational industrial companies towards the worldwide deployment and utilization of developed technologies (including General Electric and Siemens). He is also a registered Medical Physicist in Cyprus, a Consultant Scientist for General Electric Healthcare, UK, and a Visiting Research Associate at King’s College London.
Xenios Milidonis
Xenios Milidonis is a Research Associate in the DeepCamera MRG at CYENS Centre of Excellence. He received a BSc in Physics from the University of Cyprus (2011), an MSc in Physics and Computing in Medicine and Biology (Medical Physics) from the University of Manchester (2012), and a PhD in Molecular and Clinical Medicine (Neuroimaging) from the University of Edinburgh (2017). Since then, he worked as a post-doctoral Research Associate at the School of Biomedical Engineering & Imaging Sciences, King’s College London, focussing on the fabrication of multimodality physical standards for the assessment and validation of dynamic cardiac first-pass perfusion imaging, as well as the development
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 739578
This project has received funding from the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development