Recent advances in the three-dimensional (3D) printing industry have enabled clinicians to
explore the use of 3D printing in preprocedural planning, biomedical tissue modeling, and …

Generative Adversarial Networks (GAN) have many potential medical imaging applications,
including data augmentation, domain adaptation, and model explanation. Due to the limited …

In recent years, the 3D printing industry has undergone rapid development. Clinicians and
researchers have begun to apply this technology in procedural planning, tissue engineering …

Background The relationship between emphysema progression and long-term outcomes is
unclear. Purpose To determine the relationship between emphysema progression at CT and …

Purpose Our purpose was to develop a deep learning–based computed tomography (CT)
perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT …

Rationale: Loss of the peripheral pulmonary vasculature, termed vascular pruning, is
associated with disease severity in patients with chronic obstructive pulmonary disease …

Purpose Accurate segmentation of lung nodules is crucial in the development of imaging
biomarkers for predicting malignancy of the nodules. Manual segmentation is time …

Aims To investigate the possibility that vorticity assessed by four-dimensional flow cardiac
magnetic resonance (4D-Flow CMR) in the left ventricle of patients with mild-to-moderate …

Background Pulmonary hypertension is a heterogeneous disease, and a significant portion
of patients at risk for it have CT imaging available. Advanced automated processing …

There is an increased appreciation for the importance of the right heart and pulmonary
circulation in several disease states across the spectrum of pulmonary hypertension and left …