Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …

Background Results of recent phantom studies show that variation in CT acquisition
parameters and reconstruction techniques may make radiomic features largely …

Objective To investigate the effects of Image Biomarker Standardisation Initiative (IBSI)
compliance, harmonisation of calculation settings and platform version on the statistical …

Objectives Radiomic features derived from routine medical images show great potential for
personalized medicine in gastric cancer (GC). We aimed to evaluate the current status and …

Techniques from the field of artificial intelligence, and more specifically machine (deep)
learning methods, have been core components of most recent developments in the field of …

Radiomics is the method of choice for investigating the association between cancer imaging
phenotype, cancer genotype and clinical outcome prediction in the era of precision …

Objective The aim of this study was to identify the most important features and assess their
discriminative power in the classification of the subtypes of NSCLC. Methods This study …

The aim of this review is to provide readers with an update on the state of the art, pitfalls,
solutions for those pitfalls, future perspectives, and challenges in the quickly evolving field of …

Background: Liver metastases are a leading cause of cancer-associated deaths in patients
affected by colorectal cancer (CRC). The multidisciplinary strategy to treat CRC is more …