Artificial intelligence (AI) is the development of computer systems whereby machines can
mimic human actions. This is increasingly used as an assistive tool to help clinicians …

Pulmonary functional magnetic resonance imaging (PfMRI) provides a way to non-invasively
map and measure the spatial distribution of pulmonary ventilation, perfusion and gas …

Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary
imaging is an essential component of the diagnosis, treatment planning, monitoring, and …

Accurate sleep staging results can be used to measure sleep quality, providing a reliable
basis for the prevention and diagnosis of sleep-related diseases. The key to sleep staging is …

CAD systems for lung cancer diagnosis and detection can significantly offer unbiased,
infatiguable diagnostics with minimal variance, decreasing the mortality rate and the five …

Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable
visualization and quantification of regional lung ventilation; however, these techniques …

Background Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers,
including the ventilation defect percentage (VDP). VDP is computed from segmentations …

Background Microsatellite instability (MSI) is one of the essential tumor biomarkers for
cancer treatment and prognosis. The presence of more significant PD-L1 expression on the …

Background Recently, deep learning via convolutional neural networks (CNNs) has largely
superseded conventional methods for proton (1H)‐MRI lung segmentation. However …

Chest x-ray images are one of the most commonly performed imaging tests, providing
crucial clinical information about structures like the heart, lungs, ribs, bones, and blood …