Maggioli

Maggioli is a leading Italian company offering a broad range of specific, highly professional solutions in several domains (business areas): i) Information Technology, ii) Services & Technologies, iii) Publishing, Training and Education, iv) Document Management, and v) Museums, Art and Culture. Maggioli is one of the biggest ICT integrators in Italy with more than 1,000 highly qualified personnel and revenues 120 M€. The company belongs to the Maggioli Group, which has more than 1,800 employees around the globe, including several Italian branches, as well as offices/branches/subsidiaries in Belgium (Brussels), Spain (Tenerife and Madrid), Greece (Athens) and Colombia (Bogota).

Maggioli Greece is acting as a near-shore extension of Maggioli Research and Innovation Unit and it is fully integrated with it, thus, participating in most of Maggioli Group R&D international projects.

Maggioli has a successful track record of involvement as system integrator, software developer and domain expert in numerous large-scale IT projects, both commercial and research-oriented. The team has an outstanding software and service engineering and IT integration background, and rich experience in applied research in technologies related to Complex System Architectures, federated data sharing, Cloud Computing, Big Data storage and management, data interoperability, Internet of Things, cybersecurity, and many more. Many of the above technologies are applied in the area of eHealth and Health Data Spaces, where the company is especially active in the R&D arena. They are also offered by Maggioli as part of various cloud-based commercial solutions and services targeting both public and private organizations at local, regional and governmental level.

Maggioli is one of the founding members of the Artificial Intelligence for Health Imaging (AI4HI) network, a network of five EU-funded research projects working on the development of large cancer imaging data repositories and AI solutions applied on cancer imaging to support clinical practice in cancer diagnosis, treatment and follow-up. The network consists of 86 affiliated institutions from 20 countries, bringing together health data from more than 91.000 cancer patients. The company is also coordinating the EU-funded INCISIVE project (https://incisive-project.eu/), which is building A) a pan-European federated repository of cancer images and accompanying clinical data from more than 9 clinical sites, related to 4 types of cancer; B) an AI toolbox including many AI models and services for decision support to healthcare professionals in the diagnosis, treatment and follow-up of cancer.

Maggioli complies with the UNI EN ISO 9001:2008 and UNI CEI ISO/IEC 27001:2014 Certificates of Quality.

More information about the company at https://www.maggioli.com/en-us

Role of institution in the project

Maggioli is participating in all major tasks of EUCAIM and is the co-leader (together with Foundation for Research and Technology Hellas – FORTH) of  WP5 Data Federation & Interoperability Framework. The team is also leading the work that will design the technical set up of the local data nodes of EUCAIM in order to enable data federation and federated learning and interoperability with the central EUCAIM infrastructure.

Maggioli also leads the set-up of local nodes and data federation and will be linking with INCISIVE data providers and repository and support in achieving data interoperability among the AI4HI repositories.

Gianna Tsakou

Gianna Tsakou is a Senior Project Manager / Senior Analyst in the Athens R&D Lab of Maggioli S.P.A., where she has the overview of the eHealth EC funded projects. She is the Coordinator of INCISIVE, a 10M€ project implemented by 26 partners, targeting the development of a multimodal AI-based Toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer. She is also the Principal Investigator for Maggioli in EUCAIM. Before joining Maggioli, Gianna worked as a Senior Project Manager/Analyst in the EU Projects Department of SingularLogic S.A. (2008-2020) and in other public institutes and private companies. She has been acting as project coordinator/analyst and researcher of EC and nationally funded IT research projects since 1999, conducting research in over 30 R&D projects through which she has acquired expertise and know-how in a wide range of research areas, among which AI in cancer imaging, big data repositories, eHealth services, multi-modal interfaces, interoperability of services, and natural language processing. Since 2003, she is invited every year by the EC as expert evaluator and reviewer for several topics of Horizon Europe, EIC Accelerator and Digital Europe Programmes.

Stefanie Charalambous

Stefanie Charalambous is a Project Manager / Analyst in the Research and Development Hub of Maggioli S.P.A. Greek branch in Athens. She has been actively involved in research projects co-funded by the European Union under various Frameworks and Programmes including Horizon Europe, Horizon 2020, and Digital Europe Programme. She has extensive work experience in both private and public healthcare sectors as she has formerly worked as a Diagnostic and Therapeutic Radiographer. Prior to joining Maggioli, Stefanie worked as a Therapeutic Radiographer in German Oncology Center (2017-2022) where she competently operated advanced technologies in both clinical aspects (treatment and imaging), was involved in the development of the standard operating procedures and organizational processes for all treatment and imaging techniques and she was an active member of the Radiotherapy Research Board. She holds a BSc degree in Therapeutic Radiography and a MSc degree in Cancer Biology, where she received the prize of excellence. She possesses excellent communication and interpersonal skills whilst she also demonstrates very strong managerial skills. Her major interests include machine learning and artificial intelligence in healthcare and cancer imaging, big data repositories, personalized medicine and the improvement of quality of life after cancer treatments.

Sofia Theodoridou

Dr. Philipp Seeböck has a strong record in deep learning and medical image analysis, particularly in anomaly detection to disentangle healthy from abnormal variability, domain adaptation, representation learning and patient outcome prediction.

Paris Laras

Paris Laras is a Technical Manager and team lead for the Athens department of Maggioli. Born in Athens, Greece and raised bilingual as a dual EU-US Citizen, he showed love for arts & sciences and engaged with other cultures from a young age. Paris studied IT in the University of West Attica, where he formed a software development team with other students and went on to publish multiple digital games. He continued interacting with the Game Development industry of Greece and, in coordination with other members of the industry, went on to found the Game Developer Association of Greece. His personal research revolves around the field of Cyber Security, specifically enumeration and assessment of vulnerabilities, while he has participated in multiple research projects in the fields of AI in health and Industry 4.0 as a developer and technical coordinator. His main expertise lies in the Design and Production of software. He specializes in team coordination, designing for innovation, and management of the software production process, while his skills expand from technical design, to DevOps, to full-stack software development.

Survey Invitation

Join Leading Experts In Shaping AI In Cancer

EUCAIM is looking for your feedback! We have recently published a Stakeholder Survey in order to reach out to potential end-users and stakeholders. We believe that your insights could significantly contribute to understanding the expectations of potential users and identifying the essential aspects that stakeholders find crucial for future engagement and collaboration with the platform.

Therefore, we would like to invite you to participate in the Stakeholder Survey about the Cancer Image Europe platform.

Completing the survey will take approximately 10 minutes. Your participation is crucial to the success of this project, and we deeply appreciate your expertise in shaping the future of cancer imaging and treatment.