Diffusion models have emerged as potential tools to tackle the challenge...
Score-based generative models (SGMs) have gained prominence in sparse-vi...
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucia...
Low-dose computed tomography (CT) plays a significant role in reducing t...
The radiation dose in computed tomography (CT) examinations is harmful f...
The photon-counting detector (PCD) based spectral computed tomography
at...
The deep learning-based tomographic image reconstruction methods have be...
By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose...
Image restoration is a typical ill-posed problem, and it contains variou...
While the field of deep tomographic reconstruction has been advancing ra...
One of the advantages of spectral computed tomography (CT) is it can ach...
The potential huge advantage of spectral computed tomography (CT) is its...
Spectral computed tomography (CT) has a great potential in material
iden...
Spectral computed tomography (CT) reconstructs material-dependent attenu...