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 …

Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …

Radiomics extracts and mines large number of medical imaging features quantifying tumor
phenotypic characteristics. Highly accurate and reliable machine-learning approaches can …

This study aims at developing a joint FDG-PET and MRI texture-based model for the early
evaluation of lung metastasis risk in soft-tissue sarcomas (STSs). We investigate if the …

Background and purpose Radiomics provides opportunities to quantify the tumor phenotype
non-invasively by applying a large number of quantitative imaging features. This study …

Treatment planning is an essential step of the radiotherapy workflow. It has become more
sophisticated over the past couple of decades with the help of computer science, enabling …

Due to advances in the acquisition and analysis of medical imaging, it is currently possible
to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by …

FDG-PET-derived textural features describing intra-tumor heterogeneity are increasingly
investigated as imaging biomarkers. As part of the process of quantifying heterogeneity …

Radiomics provides a comprehensive quantification of tumor phenotypes by extracting and
mining large number of quantitative image features. To reduce the redundancy and compare …

Treatment planning plays an important role in the process of radiotherapy (RT). The quality
of the treatment plan directly and significantly affects patient treatment outcomes. In the past …