With the massive use of computers, the growth and explosion of data has greatly promoted
the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such …

This review focuses on emerging abbreviated magnetic resonance imaging (AMRI)
surveillance of patients with chronic liver disease for hepatocellular carcinoma (HCC). This …

Multimodal image registration is applied in medical image analysis as it allows the
integration of complementary data from multiple imaging modalities. In recent years, various …

Gadoxetic acid is an MRI contrast agent that has specific applications in the study of
hepatobiliary disease. After being distributed in the vascular and extravascular spaces …

Artificial intelligence (AI) can automate and dramatically accelerate Computer-Aided
Detection (CADe) and Computer-Aided Diagnosis (CADx) by automatically processing …

Multimodal image registration is a key for many clinical image‐guided interventions.
However, it is a challenging task because of complicated and unknown relationships …

BACKGROUND. The confounder-corrected chemical shift–encoded MRI (CSE-MRI)
sequence used to determine proton density fat fraction (PDFF) for hepatic fat quantification is …

Although difficult, robust and reliable synchronization of multimodal medical pictures has
several practical uses. For instance, in MR-TRUS fusing guided prostate treatments, picture …

Purpose Selective internal radiation therapy (SIRT) requires a good liver registration of multi-
modality images to obtain precise dose prediction and measurement. This study …

Purpose To determine the role of deep learning-based arterial subtraction images in viability
assessment on extracellular agents-enhanced MRI using LR-TR algorithm. Methods …