Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Recent advances in computer-aided diagnosis, treatment response and prognosis in
radiomics and deep learning challenge radiology with requirements for world-wide …

Current thrombolysis for acute ischemic stroke (AIS) treatment strictly relies on the time since
stroke (TSS) less than 4.5 h. However, some patients are excluded from thrombolytic …

Background and purpose Radiomics allows extraction of quantifiable features from imaging.
This study performs a systematic review and meta-analysis of the performance of radiomics …

Purpose Radiation pneumonitis (RP) is one of the common side effects of radiation therapy
in the thoracic region. Radiomics and dosiomics quantify information implicit within medical …

Radiomics is a promising technique for discovering image based biomarkers of therapy
response in cancer. Reproducibility of radiomics features is a known issue that is addressed …

Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

Rationale and Objectives More pulmonary nodules (PNs) have been detected with the wide
application of computed tomography (CT) in lung cancer screening. Radiomics is a …

Purpose Highlighting the risk of biases in radiomics-based models will help improve their
quality and increase usage as decision support systems in the clinic. In this study we use …