Institut d'Imagerie Biomédicale

Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects

Dennis M. Hedderich, Christian Weisstanner, Sofie Van Cauter et al.

2023 · 32 Zit.

The R-AI-DIOLOGY checklist: a practical checklist for evaluation of artificial intelligence tools in clinical neuroradiology

Sven Haller, Sofie Van Cauter, Christian Federau et al.

2022 · 30 Zit.

Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge

Younes Belkouchi, Mathieu Léderlin, Amira Ben Afia et al.

2023 · 16 Zit.

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications

Francesco Cremonesi, Marc Vesin, Sergen Cansiz et al.

2025 · 4 Zit.

Artificial intelligence: Emergence and possible fraudulent use in medical publishing

Thibaut Jacques, Rita Sleiman, Manuel I. Diaz et al.

2023 · 4 Zit.

METhodological RadiomICs Score (METRICS): A quality scoring tool for radiomics research

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2023 · 0 Zit.

Intelligence artificielle : émergence et possible utilisation frauduleuse dans l’édition médicale

Thibaut Jacques, Rita Sleiman, Manuel I. Diaz et al.

2023 · 0 Zit.

The Image Biomarker Standardization Initiative: Standardized convolutional filters for quantitative radiomics Authors and affiliations

P. Whybra, Alex Zwanenburg, Vincent Andrearczyk et al.

2023 · 0 Zit.

AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients

Nathalie Lassau, Samy Ammari, Émilie Chouzenoux et al.

2020 · 0 Zit.

Usages and perceptions of artificial intelligence among French radiologists

Aurélie Jean, Thibaut Jacques, Philippe Benillouche

2026 · 0 Zit.