A CybEr range tRaining platform for medicAl organisations and systems Security

Leistungen

Platform Requirements and Technology Analysis Report

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

Description of the planned dissemination and communication activities and channels

Healthcare Pilots & Cyber Range Training Requirements Analysis Report

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 Platform Initial Reference Architecture

Initial definition of the AERAS platform

Veröffentlichungen

Privacy–Preserving Online Content Moderation: A Federated Learning Use Case

Autoren: Leonidou Pantelitsa; Kourtellis Nicolas; Salamanos Nikos; Sirivianos Michael
Veröffentlicht in: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, Ausgabe 1, 2023, Seite(n) 280–289, ISBN 978-1-4503-9419-2
Herausgeber: ACM
DOI: 10.1145/3543873.3587604

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

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

Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations

Autoren: Konstantinos P. Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A. Kalospyros, Megumi Hada, Alexandros G. Georgakilas, George C. Kagadis
Veröffentlicht in: Cancers, Ausgabe 12/4, 2020, Seite(n) 799, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers12040799

Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits.

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

Leistungen

Veröffentlichungen

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