This review outlines the current status and challenges of the clinical applications of artificial
intelligence in liver imaging using computed tomography or magnetic resonance imaging …

Spectral computed tomography (CT) has recently emerged as an advanced version of
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …

Objectives To assess image quality and liver metastasis detection of reduced-dose dual-
energy CT (DECT) with deep learning image reconstruction (DLIR) compared to standard …

Objective To explore whether reduced-dose (RD) gemstone spectral imaging (GSI) and
deep learning image reconstruction (DLIR) of 40 keV virtual monoenergetic image (VMI) …

Purpose To compare the image quality and diagnostic capability in detecting malignant liver
tumors of low-dose CT (LDCT, 33% dose) with deep learning–based denoising (DLD) and …

Conventional noise reduction algorithms have been used in image processing for a very
long time, but recently, deep learning-based algorithms have been shown to significantly …

Purpose To compare the diagnostic performance of 40 keV and 70 keV virtual
monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic …

Background Dual-energy computed tomography (DECT) has received extensive attention in
clinical practice; however, a quantitative assessment of published literature in this domain is …

To assess the image quality parameters of dual-energy computed tomography angiography
(DECTA) 40-, and 60 keV virtual monoenergetic images (VMIs) combined with deep …

Background Although efforts have been made to reduce the dose of Contrast Medium (CM)
to improve patient safety, there are ongoing concerns regarding its potential effects on …