Sparse-view computed tomography (CT)---using a small number of projections for
tomographic reconstruction---enables much lower radiation dose to patients and …

To reduce the radiation dose, sparse-view computed tomography (CT) reconstruction has
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …

Deep learning based solutions are being succesfully implemented for a wide variety of
applications. Most notably, clinical use-cases have gained an increased interest and have …

To prevent patients from being exposed to excess of radiation in CT imaging, the most
common solution is to decrease the radiation dose by reducing the X-ray, and thus the …

Sparse-view computed tomography (CT) is a promising solution for expediting the scanning
process and mitigating radiation exposure to patients, the reconstructed images, however …

Sparse-view CT is a promising strategy for reducing the radiation dose of traditional CT
scans, but reconstructing high-quality images from incomplete and noisy data is challenging …

Sparse view (SV) computed tomography (CT) is a clinical diagnostic technique aimed at
reducing radiation dose to the human body from X-rays. However, SVCT reconstructed …

Inverse problems span across diverse fields. In medical contexts computed tomography (CT)
plays a crucial role in reconstructing a patient's internal structure presenting challenges due …

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 …

Computed tomography (CT) is a widely-used imaging technology that assists clinical
decision-making with high-quality human body representations. To reduce the radiation …