Low-dose computed tomography (LDCT) is crucial due to the risk of radiation exposure to
patients. However, the high noise level in LDCT images may reduce the image quality …

Deep neural networks have shown great improvements in low-dose computed tomography
(CT) denoising. Early algorithms were primarily optimized to obtain an accurate image with …

Supervised deep-learning techniques with paired training datasets have been widely
studied for low-dose computed tomography (LDCT) imaging with excellent performance …

Abstract In Computed Tomography (CT) imaging, one of the most serious concerns has
always been ionizing radiation. Several approaches have been proposed to reduce the …

Background Although low‐dose computed tomography (CT) imaging has been more widely
adopted in clinical practice to reduce radiation exposure to patients, the reconstructed CT …

Aimed at limitations in the description and expression of three-dimensional (3D) physical
information in two-dimentsional (2D) medical images, feature extraction and matching …

Fluoroscopy is critical for real-time X-ray visualization in medical imaging. However, low-
dose images are compromised by noise, potentially affecting diagnostic accuracy. Noise …

In gear manufacturing at the Gear Department of the WZL of RWTH Aachen University the
machine scheduling approach has predominantly been manual, creating potential …

Non-crimp fabric reinforced polymers are commonly used to manufacture the load carrying
parts in wind turbine blades. Since wind turbine blades have a large material usage, the …