How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
Fanny Orlhac(Inserm), Irène Buvat(Centre National de la Recherche Scientifique), Jessica Goya-Outi(Inserm), Augustin Lecler(Université Paris Cité), Loïc Duron(Inserm), Frédérique Frouin(Inserm), Christophe Nioche(Heidelberg University), Julien Savatovski(Université Sorbonne Paris Nord), Nicholas Ayache(Institut national de recherche en sciences et technologies du numérique), Frédérique Charbonneau(Fondation de Rothschild)
Cited by 212
Related Papers
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
|IEEE Transactions on Medical Imaging|2014|6.7k
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
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
|Radiology|2024|210
Deep reinforcement learning in medical imaging: A literature review
|HAL (Le Centre pour la Communication Scientifique Directe)|2021|201