Filtered back projection (FBP) has been the standard CT image reconstruction method for 4
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …

Metal artifacts degrade CT image quality, hampering clinical assessment. Numerous metal
artifact reduction methods are available to improve the image quality of CT images with …

Scoliosis is a common disease of the spine and requires regular monitoring due to its
progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which …

Electroencephalogram (EEG) signals suffer substantially from motion artifacts even in
ambulatory settings. Signal processing techniques for removing motion artifacts from EEG …

In recent times, model-driven deep learning has evolved an iterative algorithm into a
cascade network by replacing the regularizer's first-order information, such as the (sub) …

Purpose. There is a growing number of publications on the application of unpaired image-to-
image (I2I) translation in medical imaging. However, a systematic review covering the …

Computed tomography (CT) is a widely used imaging technique in both medical and
industrial applications. However, accurate CT reconstruction requires complete projection …

In ultrasonic testing, diffraction artifacts generated around defects increase the challenge of
quantitatively characterizing defects. In this paper, we propose a label-enhanced semi …

Recently, CycleGAN was shown to provide high-performance, ultra-fast denoising for low-
dose X-ray computed tomography (CT) without the need for a paired training dataset …

Deep neural networks are commonly used for medical purposes such as image generation,
segmentation, or classification. Besides this, they are often criticized as black boxes as their …