Deep learning (DL) has been extensively researched in the field of compu...
Sparse-view computed tomography (CT) can be used to reduce radiation dos...
Computed tomography (CT) is of great importance in clinical practice due...
Since 2016, deep learning (DL) has advanced tomographic imaging with
rem...
Positron emission tomography (PET) reconstruction has become an ill-pose...
Magnetic resonance imaging (MRI) acquisition, reconstruction, and
segmen...
We propose a provably convergent method, called Efficient Learned Descen...
Due to the presence of metallic implants, the imaging quality of compute...
Lowering the radiation dose in computed tomography (CT) can greatly redu...
Metal implants can heavily attenuate X-rays in computed tomography (CT)
...
Compressed sensing (CS) computed tomography has been proven to be import...
Spectral computed tomography (CT) can reconstruct spectral images from
d...
Current mainstream of CT reconstruction methods based on deep learning
u...
Over the past few years, dictionary learning (DL)-based methods have bee...
Traditional dictionary learning based CT reconstruction methods are
patc...