Laboratoire d'imagerie translationnelle en oncologie

The T.R.U.E. Checklist for Identifying Impactful Artificial Intelligence–Based Findings in Nuclear Medicine: Is It True? Is It Reproducible? Is It Useful? Is It Explainable?

Irène Buvat, Fanny Orlhac

2021 · 18 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.

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.

Apport et potentiel de l'Intelligence Artificielle en imagerie médicale pour la cancérologie

Fanny Orlhac, Irène Buvat

2022 · 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.