Although cancer often is referred to as “a disease of the genes,” it is indisputable that the
(epi) genetic properties of individual cancer cells are highly variable, even within the same …

Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …

Purpose To identify the reproducible and nonredundant radiomics features (RFs) for
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …

Rationale: Studies of excised lungs show that significant airway attrition in the “quiet” zone
occurs early in chronic obstructive pulmonary disease (COPD). Objectives: To determine if …

Purpose: Convolutional neural network (CNN)‐based denoising is an effective method for
reducing complex computed tomography (CT) noise. However, the image blur induced by …

Objective To assess whether computed tomography (CT) conversion across different scan
parameters and manufacturers using a routable generative adversarial network (RouteGAN) …

Multiple thoracic imaging modalities have been developed to link structure to function in the
diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders …

Objectives To evaluate robustness of dual-energy CT (DECT) radiomics features of virtual
unenhanced (VUE) image and virtual monoenergetic image (VMI) among different imaging …

Background CT attenuation is affected by lung volume, dosage, and scanner bias, leading to
inaccurate emphysema progression measurements in multicenter studies. Purpose To …

The frenetic development of imaging technology—both hardware and software—provides
exceptional potential for investigation of the lung. In the last two decades, CT was exploited …