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CORDIS - EU research results
CORDIS

A CybEr range tRaining platform for medicAl organisations and systems Security

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Platform Requirements and Technology Analysis Report (opens in new window)

Platform requirements and an updated state of the art and practice for key technological building blocks

AERAS Cyber Range Tools - V2 (opens in new window)

Final version of D4.1.

AERAS Cyber Range Tools - V1 (opens in new window)

This document will describe the initial specification and implementation of the AERAS Cyber Range and simulation tools (from Task 4.1) and the visualization components (from Task 4.2).

Dissemination and Communication Plan (opens in new window)

Description of the planned dissemination and communication activities and channels

AERAS Models and CRSA-driven Cyber Range programme V1 (opens in new window)

First version of the AERAS CRSA models (T3.2), and first version of the developed procedures supporting the dynamic and adaptive CRSA models, along with the first version of the hybrid risk analysis models (T3.4).

AERAS final prototype pilot validation report (opens in new window)

Final report on the validation of the final AERAS prototype in the context of each pilot environments covered in the project.

Initial Prototype of integrated AERAS platform (opens in new window)

Initial version of the integration AERAS platform involving all the components of WP3 and WP4 developed until M30. It will also include the results of the quality assurance and technical testing on the initial prototype of the integrated AERAS platform

CRSA Models and CRSA-driven Cyber Range programme specification language (opens in new window)

Describe the specification language of CRSA models used to specify an organisation’s infrastructure layers

AERAS Monitoring, Assessment and Adaptation mechanisms - V2 (opens in new window)

Final version of D4.2.

Healthcare Pilots & Cyber Range Training Requirements Analysis Report (opens in new window)

Requirements of the AERAS solution from the perspective of healthcare organisations and actors as arising in the project pilots and the wider domain from Task 21 as well as requirements pertaining to cyber range training in the healthcare domain and their relation to existing standards from Task 22

AERAS Evaluation Framework and Pilot Set Up Guidelines (opens in new window)

Define the refined set of KPIs, criteria and methodology to evaluate the AERAS platform. Provide detailed guidelines and documentation to support the piloting phase. Also includes the ethics approval applications.

AERAS Models and CRSA-driven Cyber Range programme V2 (opens in new window)

Final version of D3.2

Final AERAS evaluation report (opens in new window)

Final evaluation report of the AERAS platform, extending the results of the individual pilot evaluations with cross-cutting issues, trends and effectiveness results, spanning all pilots, as well as the applicability of the solution to different critical domains.

AERAS Platform Initial Reference Architecture (opens in new window)

Initial definition of the AERAS platform

Final Prototype of integrated AERAS platform (opens in new window)

Final version of the integration AERAS platform involving all the components of WP3 and WP4 developed until M42. It will also include the results of the quality assurance and technical testing on the final prototype of the integrated AERAS platform

AERAS Monitoring, Assessment and Adaptation mechanisms - V1 (opens in new window)

This document will provide the initial design of methods and mechanisms for assessing the performance of the Cyber Range trainees and the CRST evaluation (from Task 4.3). It will also include the initial specification and implementation of the cyber-system, and CSLA monitoring (from Task 4.4), as well as the communication interfaces and adaptation mechanisms that enable the adaptation of the AERAS platform, driven by feedback received from the corresponding internal components (from Task 4.5).

AERAS initial prototype pilot validation report (opens in new window)

Initial report on the validation of the initial AERAS prototype in the context of each pilot environments covered in the project.

Publications

Investigation of Machine and Deep Learning Techniques to Detect HPV Status (opens in new window)

Author(s): Efstathia Petrou, Konstantinos Chatzipapas, Panagiotis Papadimitroulas, Gustavo Andrade-Miranda, Paraskevi F. Katsakiori, Nikolaos D. Papathanasiou, Dimitris Visvikis, George C. Kagadis
Published in: Journal of Personalized Medicine, Issue 14, 2024, Page(s) 737, ISSN 2075-4426
Publisher: MDPI
DOI: 10.3390/jpm14070737

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization (opens in new window)

Author(s): Papadimitroulas P, Brocki L, Christopher Chung N, Marchadour W, Vermet F, Gaubert L, Eleftheriadis V, Plachouris D, Visvikis D, Kagadis GC, Hatt M.
Published in: Physica Medica, 2021, ISSN 1724-191X
Publisher: Elsevier
DOI: 10.1016/j.ejmp.2021.03.009

Dosimetric Evaluation of 177Lu Peptide Receptor Radionuclide Therapy Using GATE and Planet Dose (opens in new window)

Author(s): Ioanna Stamouli, Thomas Nanos, Konstantinos Chatzipapas, Panagiotis Papadimitroulas, Lydia-Aggeliki Zoglopitou, Theodoros Kalathas, Paraskevi F. Katsakiori, Anna Makridou, George C. Kagadis
Published in: Applied Sciences, Issue 13, 2025, Page(s) 9836, ISSN 2076-3417
Publisher: MDPI AG
DOI: 10.3390/app13179836

Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine (opens in new window)

Author(s): Konstantinos Papachristou, Paraskevi F. Katsakiori, Panagiotis Papadimitroulas, Lidia Strigari, George C. Kagadis
Published in: Journal of Personalized Medicine, Issue 14, 2025, Page(s) 1101, ISSN 2075-4426
Publisher: MDPI AG
DOI: 10.3390/jpm14111101

Implementing Artificial Intelligence in Family Medicine: Challenges and Limitations (opens in new window)

Author(s): Paraskevi F Katsakiori, George C Kagadis, Francesk Mulita, Markos Marangos
Published in: Cureus, 2024, ISSN 2168-8184
Publisher: Springer Science and Business Media LLC
DOI: 10.7759/cureus.75518

Cybersecurity training and healthcare: the AERAS approach (opens in new window)

Author(s): Fulvio Frati, Georgiana Darau, Nikos Salamanos, Pantelitsa Leonidou, Costas Iordanou, Dimitris Plachouris, Efstratios Syrmas, Evangelos Floros, George Nikitakis, George Spanoudakis, Konstantinos Kalais, Stella Tsichlaki, Ernesto Damiani, George C. Kagadis, Jihane Najar, Michael Sirivianos
Published in: International Journal of Information Security, Issue 23, 2024, Page(s) 1527-1539, ISSN 1615-5262
Publisher: Springer Verlag
DOI: 10.1007/s10207-023-00802-y

Using kinetic Monte Carlo simulations to design efficient magnetic nanoparticles for clinical hyperthermia (opens in new window)

Author(s): Costas Papadopoulos, Argiris Kolokithas‐Ntoukas, Roberto Moreno, David Fuentes, George Loudos, Vassilios C. Loukopoulos, George C. Kagadis
Published in: Medical Physics, Issue 49, 2023, Page(s) 547-567, ISSN 0094-2405
Publisher: American Association of Physicists in Medicine
DOI: 10.1002/mp.15317

Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations (opens in new window)

Author(s): Konstantinos P. Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A. Kalospyros, Megumi Hada, Alexandros G. Georgakilas, George C. Kagadis
Published in: Cancers, Issue 12/4, 2020, Page(s) 799, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers12040799

Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits. (opens in new window)

Author(s): Konstantinos P. Chatzipapas; Dimitris Plachouris; Panagiotis Papadimitroulas; Konstantinos A. Mountris; Julien Bert; Dimitris Visvikis; Dimitris Mihailidis; George C. Kagadis
Published in: Cancers, Issue 1, 2021, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13215315

Privacy–Preserving Online Content Moderation: A Federated Learning Use Case (opens in new window)

Author(s): Leonidou Pantelitsa; Kourtellis Nicolas; Salamanos Nikos; Sirivianos Michael
Published in: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, Issue 1, 2023, Page(s) 280–289, ISBN 978-1-4503-9419-2
Publisher: ACM
DOI: 10.1145/3543873.3587604

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