Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …

Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …

Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of
radiation to tumors while sparing healthy tissues over multiple days. Computed tomography …

Radiofrequency (RF) coils for magnetic resonance imaging (MRI) applications serve to
generate RF fields to excite the nuclei in the sample (transmit coil) and to pick up the RF …

The generation of Synthetic Computed Tomography (sCT) images has become a pivotal
methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) …

Background Multiparametric MRI, including contrast-enhanced sequences, is recommended
for evaluating suspected prostate cancer, but concerns have been raised regarding potential …

Biomedical data encompasses images, texts, physiological signals, and molecular omics
data. As the costs of various data acquisition methods, such as genomic sequencing …

Background Iodine maps, derived from image‐processing of contrast‐enhanced dual‐
energy computed tomography (DECT) scans, highlight the differences in tissue iodine …

Brain stroke, or a cerebrovascular accident, is a devastating medical condition that disrupts
the blood supply to the brain, depriving it of oxygen and nutrients. Each year, according to …

Medical images provide a visual representation of the internal structure of the human body.
Injecting a contrast agent can increase the contrast of diseased tissues and assist in the …