Contemporary medical imaging is becoming increasingly more quantitative. The emerging
field of radiomics is a leading example. By translating unstructured data (ie, images) into …

Purpose To develop a radiomics filtering technique for characterizing spatial‐encoded
regional pulmonary ventilation information on lung computed tomography (CT). Methods …

Radiomics has become a popular image analysis method in the last few years. Its key
hypothesis is that medical images harbor biological, prognostic and predictive information …

Computed tomography (CT) imaging texture-based radiomics analysis can be used to
assess chronic obstructive pulmonary disease (COPD). However, different image pre …

Lung cancers exhibit strong phenotypic differences that can be visualized noninvasively by
medical imaging. Radiomics, a concept introduced in 2012, refers to the comprehensive …

Medical imaging plays a key role in evaluating and monitoring lung diseases such as
chronic obstructive pulmonary disease (COPD) and lung cancer. The application of artificial …

We designed and generated pulmonary imaging biomarker pipelines to facilitate high-
throughput research and point-of-care use in patients with chronic lung disease. Image …

Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …

Dynamic heterogeneity in lung ventilation is an important measure of pulmonary function
and may be characteristic of early pulmonary disease. While standard indices like …

Objectives. To evaluate the utility of radiomics features in differentiating central lung cancers
and atelectasis on contrast‐enhanced computed tomography (CT) images. This study is …