Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
Augustin Lecler(Université Paris Cité), Laure Fournier(Inserm), Julien Savatovsky(Fondation Ophtalmologique Adolphe de Rothschild), Olivier Bergès(Fondation Ophtalmologique Adolphe de Rothschild), Loïc Duron(Inserm), Afef Bouchouicha(Délégation Paris 5), Daniel Balvay(Délégation Paris 5), E. Farah(Fondation Ophtalmologique Adolphe de Rothschild), Mathieu Zmuda(Fondation Ophtalmologique Adolphe de Rothschild), O. Galatoire(Fondation de Rothschild)
Cited by 52
Related Papers
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
|Diagnostic and Interventional Imaging|2023|384
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|286
Detection, Characterization, and Inhibition of FGFR–TACC Fusions in IDH Wild-type Glioma
|Clinical Cancer Research|2015|285
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
|European Radiology|2020|212