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 …

U-shaped networks have become prevalent in various medical image tasks such as
segmentation, and restoration. However, most existing U-shaped networks rely on …

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 …

Spectral computed tomography (CT) offers the possibility to reconstruct attenuation images
at different energy levels, which can be then used for material decomposition. However …

Sparse-view computed tomography (CT) is one of the primal means to reduce radiation risk.
However, the reconstruction of sparse-view CT with the classic analytical method is usually …

Background Synchrotron radiation computed tomography (SR-CT) holds promise for high-
resolution in vivo imaging. Notably, the reconstruction of SR-CT images necessitates a large …

Classical methods of medical image super-resolution (MISR) utilize open-loop architecture
with implicit under-resolution (UR) unit and explicit super-resolution (SR) unit. The UR unit …

Sparse-view CT is an efficient way for low dose scanning but degrades image quality.
Inspired by the successful use of non-local attention in natural image denoising and …

In recent years, the growing awareness of public health has brought attention to low-dose
computed tomography (LDCT) scans. However, the CT image generated in this way …

Computed tomography (CT) involves a patient's exposure to ionizing radiation. To reduce
the radiation dose, we can either lower the X-ray photon count or down-sample projection …