A CybEr range tRaining platform for medicAl organisations and systems Security

Rezultaty

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

Publikacje

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

Autorzy: Leonidou Pantelitsa; Kourtellis Nicolas; Salamanos Nikos; Sirivianos Michael
Opublikowane w: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, Numer 1, 2023, Strona(/y) 280–289, ISBN 978-1-4503-9419-2
Wydawca: ACM
DOI: 10.1145/3543873.3587604

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

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

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

Autorzy: Konstantinos P. Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A. Kalospyros, Megumi Hada, Alexandros G. Georgakilas, George C. Kagadis
Opublikowane w: Cancers, Numer 12/4, 2020, Strona(/y) 799, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers12040799

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

Autorzy: Konstantinos P. Chatzipapas; Dimitris Plachouris; Panagiotis Papadimitroulas; Konstantinos A. Mountris; Julien Bert; Dimitris Visvikis; Dimitris Mihailidis; George C. Kagadis
Opublikowane w: Cancers, Numer 1, 2021, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13215315

Rezultaty

Publikacje

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