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CORDIS - EU research results
CORDIS

Artificial Intelligence for early detection of non-communicable disease risk in people with breast cancer

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

ARTILLERY Project Handbook (opens in new window)

Project handbook including templates, procedures, meetings and planning of activities

ARTILLERY-Manuals (opens in new window)

Recommendations for management of patients at increased AI detected risk of chronic diseases

Real World Evidence governance (opens in new window)

Under the consortium agreement, clear data access rules and data transfer agreement rules will be outlined

Dissemination, Exploitation and Communication Plan (opens in new window)

First draft of DECP created by the consortium

Stakeholder Map for dissemination, exploitation and communication (opens in new window)

First stakeholder map created

Literature review and overview of ethical-legal landscape (opens in new window)

A systematic review of the literature and a description and analysis of the current AI normative framework

Publications

Metrics Revolutions: Groundbreaking insights into the implementation of metrics for biomedical image segmentation (opens in new window)

Author(s): Gašper Podobnik and Tomaž Vrtovec
Published in: arXiv, 2024
Publisher: arXiv
DOI: 10.48550/arXiv.2410.02630

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent? (opens in new window)

Author(s): Gašper Podobnik, Tomaž Vrtovec
Published in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72114-4_30

Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models (opens in new window)

Author(s): Gašper Podobnik, Domen Ocepek, Luka Škrlj, Tomaž Vrtovec
Published in: Lecture Notes in Computer Science, Shape in Medical Imaging, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-75291-9_5

Zgodnje odkrivanje tveganja nenalezljivih bolezni pri bolnikih z rakom dojk na podlagi umetne inteligence (projekt ARTILLERY) [in Slovenian language]

Author(s): Tomaž Vrtovec and Luka Škrlj, on behalf of the ARTILLERY Consortium
Published in: Proceedings of the 35th Slovenian Oncology Weekend, 2024
Publisher: Institute of Oncology Ljubljana

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