Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases

Informations projet

AI-POD

N° de convention de subvention: 101080302

DOI

10.3030/101080302

Date de signature de la CE 24 Mars 2023

Date de début 1 Mai 2023

Date de fin 30 Avril 2027

Financé au titre de

• Health

Coût total

€ 5 292 785,75

Contribution de l’UE

€ 5 292 785,75

Coordonné par

MEDIZINISCHE UNIVERSITAET WIEN
Austria

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Websites, patent fillings, videos etc. (2)

Project website

The project website

First AI-POD promotional video

Explainer animation to introduce the project and raise awareness

Documents, reports (8)

Analysis of governance frameworks for the implementation of AI-driven technologies

Report on existing governance models for embedding ethics into the use of AI-driven applications

Citizen App focus group activities

Report on the Citizen App focus group activities

Initial end-user tutorials and workshops

Report on the initial end-user tutorials and workshops

End-user survey and workshops

Report on the end-user survey and workshops

Analysis of stakeholder perspectives on the use of AI in imaging-based prediction of obesity-related vascular diseases

Empirical and theoretical assessment of experiences, beliefs, values and expectations of key stakeholders.

Study initiation package

Report including the study registration number, the final version of study protocol, as well as necessary ethics approval required for the enrolment of the first study participant (from first clinical site)

Communication kit

Resource with building blocks for communication activities, e.g., logos, website, basic slides, summaries

Communication and dissemination plan

Plan describing the communication and dissemination activities, subsequently updated in each periodic report

Other (2)

Comprehensive photon-counting CT protocol

Optimized, comprehensive photon-counting CT protocol for cardiovascular imaging

Prototype software and extraction of imaging features

Prototype software Extraction of imaging features for the algorithm

Publications

Book chapters (7)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

Auteurs: Karthik Gopinath, Raghav Mehta, Ben Glocker, Juan Eugenio Iglesias
Publié dans: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05325-1_61

Cardiovascular Disease Classification Using Radiomics and Geometric Features from Cardiac CT

Auteurs: Ajay Mittal, Raghav Mehta, Omar Todd, Philipp Seeböck, Georg Langs, Ben Glocker
Publié dans: Lecture Notes in Computer Science, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-17734-6_10

AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring

Auteurs: Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
Publié dans: Lecture Notes in Computer Science, Machine Learning in Medical Imaging, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-09513-8_34

Automatic Dataset Shift Identification to Support Safe Deployment of Medical Imaging AI

Auteurs: Mélanie Roschewitz; Raghav Mehta; Charles Jones; Ben Glocker
Publié dans: Lecture Notes in Computer Science ISBN: 9783032049803, 2025
Éditeur: Springer Nature
DOI: 10.48550/ARXIV.2411.07940

Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery

Auteurs: Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
Publié dans: Lecture Notes in Computer Science, Applications of Medical Artificial Intelligence, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-09569-5_31

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Auteurs: Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker
Publié dans: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-04937-7_50

Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification

Auteurs: Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz, Nils D. Forkert, Ben Glocker
Publié dans: Lecture Notes in Computer Science, Fairness of AI in Medical Imaging, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05870-6_8

Peer reviewed articles (3)

A personalized iodine delivery rate-based injection protocol in coronary angiography on photon-counting CT

Auteurs: Busselot, Tim; Giordano, Pierpaolo; Sneyers, Vincent; Coudyzer, Walter; Torfs, Kwinten; Adriaenssens, Tom; Bosmans, Hilde; Dymarkowski, Steven
Publié dans: European Radiology, 2026, ISSN 1432-1084
Éditeur: Springer
DOI: 10.1007/S00330-026-12413-X

MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach

Auteurs: Alexander Herold; Daniel Sobotka; Lucian Beer; Nina Bastati; Sarah Poetter-Lang; Michael Weber; Thomas Reiberger; Mattias Mandorfer; Georg Semmler; Benedikt Simbrunner; Barbara D. Wichtmann; Sami A. Ba-Ssalamah; Michael Trauner; Ahmed Ba-Ssalamah; Georg Langs
Publié dans: European Radiology Experimental, 2025, ISSN 2509-9280
Éditeur: Springer
DOI: 10.48550/ARXIV.2510.08039

AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges

Auteurs: Kaatje Goossens, Pascal Borry, Tessa Marie Forehand, Eva Van Steijvoort
Publié dans: Frontiers in Public Health, Numéro 13, 2025, ISSN 2296-2565
Éditeur: Frontiers Media SA
DOI: 10.3389/FPUBH.2025.1713882

Conference proceedings (1)

CF-Seg: Counterfactuals Meet Segmentation

Auteurs: Raghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Mélanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall & Ben Glocker
Éditeur: Springer Nature
DOI: 10.1007/978-3-032-04984-1_12