Purpose To facilitate the demonstration of the prognostic value of radiomics, multicenter
radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis …

Multicenter studies are needed to demonstrate the clinical potential value of radiomics as a
prognostic tool. However, variability in scanner models, acquisition protocols and …

The use of multicentric data is becoming essential for developing generalizable radiomic
signatures. In particular, Magnetic Resonance Imaging (MRI) data used in brain oncology …

Radiomics is an emerging technique for the quantification of imaging data that has recently
shown great promise for deeper phenotyping of cardiovascular disease. Thus far, the …

Radiomic approaches in precision medicine are promising, but variation associated with
image acquisition factors can result in severe biases and low generalizability. Multicenter …

Radiomic features have a wide range of clinical applications, but variability due to image
acquisition factors can affect their performance. The harmonization tool ComBat is a …

Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …

Radiomics–the high throughput extraction of quantitative features from medical images and
their correlation with clinical and biological endpoints-is the subject of active and extensive …

Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …