Image-Based In Silico Modelling of Feto-Placental Vasculature

Project Information

InSilicoPlacenta

Grant agreement ID: 101108945

DOI

10.3030/101108945

Project closed

EC signature date 27 March 2023

Start date 10 July 2023

End date 9 February 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 164 328,00

Coordinated by

UNIVERSITY OF CYPRUS
Cyprus

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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

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The ER will raise scientific awareness to university students through the presentation of the proposed Marie-Curie activity. The ER will also raise awareness of pregnancy complications and the expected socio-economic impact of poor prenatal diagnosis through conventional public media. The ER will share project objectives, new scientific results and their expected impact through international conferences. The ER will make available through GitHub simulation results and computer codes. The ER will give 4 invited talks at University of South Australia, GE Healthcare, King's College London and Science Talk podcast at UCY. The ER will also give 2 keynote seminars at UCY School of Engineering to foster exchange of ideas and enhance local collaborations. The ER will also participate in MSCA event (Young Researchers) to present project overview and scientific results.

Publications

Peer reviewed articles (4)

A longitudinal MRI dataset of brain metastases with tumor segmentations, clinical & radiomic data

Author(s): Dimitra Flouri, Christos-Panagiotis Papanikas, Georgios C. Manikis, Eleftherios Ioannou, Georgia Karaoli, Elisavet Papageorgiou, Anastasia Constantinidou, Loizos Siakallis, Marilena Theodorou, Vasileios Vavourakis
Published in: Scientific Data, Issue 12, 2025, ISSN 2052-4463
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41597-025-06131-0

A deep learning algorithm for automatic <scp>3D</scp> segmentation and classification of the sheep placenta in magnetic resonance images

Author(s): Dimitra Flouri, Giorgos Adamides, Jack R. T. Darby, Stacey L. Holman, Andreas S. Panayides, Anna L. David, Vasileios Vavourakis, Janna L. Morrison, Andrew Melbourne
Published in: Physiological Reports, Issue 14, 2026, ISSN 2051-817X
Publisher: Wiley
DOI: 10.14814/PHY2.70869

Feasibility of multimodal magnetic resonance imaging to assess maternal hyperoxygenation in sheep pregnancy

Author(s): Dimitra Flouri; Jack R. T. Darby; Stacey L. Holman; Georgia Williams; Vasileios Vavourakis; Anna L. David; Janna L. Morrison; Andrew Melbourne
Published in: The Journal of Physiology, 2025, ISSN 1469-7793
Publisher: Willey
DOI: 10.1113/JP287272

Journal of Physiology

Author(s): Dimitra Flouri; Jack R. T. Darby; Stacey L. Holman; Georgia Williams; Vasileios Vavourakis; Anna L. David; Janna L. Morrison; Andrew Melbourne
Published in: The Journal of Physiology, 2025, ISSN 1469-7793
Publisher: Blackwell Publishing Inc.
DOI: 10.1113/JP287272