Identifying the presence of intravenous contrast material on CT scans is an important
component of data curation for medical imaging–based artificial intelligence model …

Contrast agents are commonly used to highlight blood vessels, organs, and other structures
in magnetic resonance imaging (MRI) and computed tomography (CT) scans. However …

Purpose A fully automated system for interpreting abdominal computed tomography (CT)
scans with multiple phases of contrast enhancement requires an accurate classification of …

Multiple intravenous contrast phases of CT scans are commonly used in clinical practice to
facilitate disease diagnosis. However, contrast phase information is commonly missing or …

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known
risk factors (eg, body mass index (BMI), body fat distribution, glucose levels). Improved …

Contrast-enhanced computed tomography scans (CECT) are routinely used in the
evaluation of different clinical scenarios, including the detection and characterization of …

Volumetric quantification of medical images plays a crucial role in the development,
discovery, and assessment of anatomical mechanisms. Modern machine learning …

Objectives Accurately acquiring and assigning different contrast-enhanced phases in
computed tomography (CT) is relevant for clinicians and for artificial intelligence …

Renal segmentation on contrast-enhanced computed tomography (CT) provides distinct
spatial context and morphology. Current studies for renal segmentations are highly …

Anesthetic-induced brain activity study is crucial in avian cognitive-, consciousness-, and
sleep-related research. However, the neurobiological mechanisms underlying the …