Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …

Objectives Open-access cancer imaging datasets have become integral for evaluating novel
AI approaches in radiology. However, their use in quantitative analysis with radiomics …

Cardiovascular diseases remain a significant health burden, with imaging modalities like
echocardiography, cardiac computed tomography, and cardiac magnetic resonance …

Simple Summary Accurate prognostic assessment of bladder cancer patients is essential for
risk stratification, individualized therapeutic decision-making and follow-up management. In …

Background Technological progress in the acquisition of medical images and the extraction
of underlying quantitative imaging data has introduced exciting prospects for the diagnostic …

Transarterial chemoembolization (TACE) represent the standard of therapy for non-
operative hepatocellular carcinoma (HCC), while prediction of long term treatment outcomes …

Objectives Post-mortem interval (PMI) estimation has long been relying on sequential post-
mortem changes on the body as a function of extrinsic, intrinsic, and environmental factors …

Purpose To investigate the test–retest repeatability of radiomic features in myocardial native
T1 and T2 mapping. Methods In this prospective study, 50 healthy volunteers (29 women …

A rise of radiomics studies and techniques could be observed over the past few years, which
centers around the extraction and analysis of quantitative features from medical images …

Background Radiomics, the field of image-based computational medical biomarker
research, has experienced rapid growth over the past decade due to its potential to …