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The Foundation for Research and Technology – Hellas (FORTH) is one of the largest research centres of Greece with well-organized facilities and highly qualified staff. The Foundation, with its high quality research results as well as its valuable socioeconomic contribution, makes it one of the top research centres internationally. FORTH will participate in the project through the FORTH-ICS and FORTH-BRI institutes.
FORTH-ICS, The Institute of Computer Science, is one of the six institutes of FORTH, which has a relatively long history and recognized tradition, since its establishment in 1983, in conducting basic and applied research, developing applications and products, providing services, and playing a leading role in Greece and internationally, in the fields of Information and Communication Technologies. The Computational BioMedicine Laboratory (CBML) of FORTH focuses on the development of novel ICT technologies in the wider context of personalized, predictive and preventive medicine aiming at the optimal management of chronic diseases. CBML has an extensive experience in the areas of computational biomedical informatics, intelligent medical image processing and hybrid imaging techniques and citizen-centered eHealth. CBML’s current research focuses on novel research and scientific areas including medical BIG data integration, harmonisation and semantic interoperability, as well as machine/deep learning in multimodal biomedical data with emphasis on novel Radiomics and Radiogenomics solutions towards precision medicine.
FORTH-BRI at Ioannina was established at Ioannina in 1998 as an independent institute and in 2001 joined FORTH. Specifically the Unit of Medical Technology and Intelligent Information Systems (Medlab) will undertake the work in RADIOVAL. Medlab is a highly innovative and self-contained research unit that resides at the Dept. of Material Science & Engineering of the University of Ioannina. MedLab’s research activities cover a variety of subjects and they are classified into the following domains: Biomedical Research, Multi-scale Predictive modelling, Automated Diagnosis – Processing of Biomedical Signals/Images, Development of wearable Devices, Decision Support Systems, Bioinformatics, Data mining, and Big Data. It has an internationally acknowledged excellence in conducting high quality scientific research and developing innovative Information Technology applications, products and services. Most of the Unit activities are based on international collaborations in the framework of European and Nationally funded projects (FP5, FP6, FP7, Horizon 2020, Horizon Europe). The unit is coordinated by Prof. Dimitrios I. Fotiadis, who is Professor of “Biomedical Engineering” at the Dept. of Materials Science and Engineering of the University of Ioannina and staffed with qualified scientists, researchers and other IT personnel.
FORTH is participating in almost all the WPs of the Radioval project but FORTH is specifically leading the tasks related to quality assessment of the medical images and the extracted segmentations. In addition, FORTH brings background knowledge from ProCAncer-I in the AI model traceability and transparency activities.
Kostas Marias is an Associate Professor in Medical Image Processing at the Department of Electrical and Computer Engineering at the Hellenic Mediterranean University in Greece and is the head and founder of the Computational Biomedicine Laboratory at FORTH-ICS. Ηe served as Principal Researcher at the Institute of Computer Science of the Foundation for Research & Technology – Hellas (ICS-FORTH) since 2006. During 2000-2002 he worked as a medical image analysis Research Assistant at the University of Oxford and from 2003-2006 as Associated Researcher at FORTH-ICS. He received his PhD in Medical Image Analysis and Medical Physics from UCL Royal Free & University College Medical School working jointly with the University of Oxford, UK. He has coordinated two EU projects on cancer modelling and has actively participated in several other EU funded projects developing ICT technology. He is a dedicated professional member of IEEE for 18 years and has served with diverse organisational roles in many important IEEE conferences in the field of biomedical informatics and imaging. He is co-author of more than 200 papers in international journals, books and conference proceedings focusing on medical image processing and analysis, biomedical informatics, image-based modelling and Radiomics /deep learning medical imaging applications.
Prof. Dimitrios I. Fotiadis received a degree in chemical engineering from the National Technical University of Athens, Greece, and the PhD degree in chemical engineering and materials science from the University of Minnesota, Minneapolis. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of FORTH, Biomedical Research Institute. He has coordinated and participated in more than 250 R&D European and national funded projects. He is the author or coauthor of more than 350 papers in scientific journals, 500 papers in peer-reviewed conference proceedings and more than 50 chapters in books. He is the author/editor of 30 books. His work has received more than 22,000 citations (h-index=70). He is IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, AIAA Fellow, member of the IEEE Technical Committee of information Technology in Healthcare, Editor in Chief of IEEE Journal of Biomedical and Health Informatics, Member of the Editorial Board in IEEE RBME, Associate Editor for IEEE OJEMB and Computers in Biology and Medicine. He is co-founder of PDNeurotechnology Ltd, UK.
Dr. Katerina Nikiforaki is a collaborating researcher at Computational BioMedicine Laboratory (CBML) of Institute of Computer Science at Foundation for Research and Technology – Hellas (FORTH). She received the B.Sc. degree in Physics, in 2003, from the University of Crete, the M.Sc. degree in Medical Physics, in 2005, and the PhD degree from Medical School, University of Crete, in 2020. She has participated in National and European research projects focusing on the analysis of multi-scale medical data, development of quantitative imaging biomarkers and predictive modelling. Her expertise is mainly in advanced MRI acquisition protocols, MR imaging quality assurance as well as medical image quantification and post-processing. She has more than 30 publications including oral and poster presentations in international conferences, books, and journals.
Dr. Nikolaos Tachos received his Diploma degree in Mechanical Engineering and PhD from the Department of Mechanical Engineering and Aeronautics, University of Patras. He is currently a senior researcher in the Department of Materials Science and Engineering of University of Ioannina and in the Foundation for Research and technology – Biomedical Research Institute. Nikolaos Tachos has been involved in several National and International projects related to computational modelling in the field of Biomedical Engineering. He is a project manager in EU funded and National funded research projects related on in-silico clinical trials platforms, digitally enabled adaptive solutions, big data, and data analytics.