Repeat imaging data sets performed on patients with cancer are becoming publicly
available. The potential utility of these data sets for addressing important questions in …

Molecular imaging biomarkers are playing an increasingly important role in efforts to
increase the probability of success of drug candidates by helping to validate novel drug …

Objectives The aim of this study was to investigate the robustness and reproducibility of
radiomic features in different magnetic resonance imaging sequences. Materials and …

We study the reproducibility of quantitative imaging features that are used to describe tumor
shape, size, texture from computed tomography (CT) scans of non-small cell lung cancer …

Quantitative size, shape, and texture features derived from computed tomographic (CT)
images may be useful as predictive, prognostic, or response biomarkers in non-small cell …

Objective Before implementing radiomics in routine clinical practice, comprehensive
knowledge about the repeatability and reproducibility of radiomic features is required. The …

We describe an improved method of measuring brain atrophy rates from serial MRI for multi-
site imaging studies of Alzheimer's disease (AD). The method (referred to as KN-BSI) …

The use of biomarkers is integral to the routine management of cancer patients, including
diagnosis of disease, clinical staging and response to therapeutic intervention. Advanced …

The severity of chronic obstructive lung disease (COPD) is defined by the degree of flow
limitation measured as forced expiratory volume in 1 s, which mainly reflects impairment of …

Objective To compare the pattern of lung uptake of 18F-fluorodeoxyglucose (FDG) by
positron emission tomography (PET) imaging in patients with lung contusion that developed …