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

The low-dose computed tomography (CT) scan is clinically significant to reduce the radiation
risk for radiologists and patients, especially in repeative examination. However, it inherently …

Metal artifacts lead to CT imaging quality degradation. With the success of deep learning
(DL) in medical imaging, a number of DL-based supervised methods have been developed …

CT metal artefact reduction (MAR) methods based on supervised deep learning are often
troubled by domain gap between simulated training dataset and real-application dataset, ie …

Background Cone beam computed tomography (CBCT) is often employed on radiation
therapy treatment devices (linear accelerators) used in image‐guided radiation therapy …

Sparse-view computed tomography (SVCT) is regarded as a promising technique to
accelerate data acquisition and reduce radiation dose. However, in the presence of metallic …

Objective. Metal artifacts in the computed tomography (CT) imaging are unavoidably
adverse to the clinical diagnosis and treatment outcomes. Most metal artifact reduction …

Metal artifacts degrade CT image's quality. Recently, some deep learning-based metal
artifact reduction (MAR) methods have been developed. Supervised MAR methods don't …

Metal artefacts in CT images may disrupt image quality and interfere with diagnosis.
Recently many deep-learning-based CT metal artefact reduction (MAR) methods have been …

Metal artifacts caused by the presence of metallic implants tremendously degrade the quality
of reconstructed computed tomography (CT) images and therefore affect the clinical …