To obtain high-quality positron emission tomography (PET) scans while
re...
Pansharpening in remote sensing image aims at acquiring a high-resolutio...
Positron emission tomography (PET) reconstruction has become an ill-pose...
Magnetic resonance imaging (MRI) acquisition, reconstruction, and
segmen...
Due to the presence of metallic implants, the imaging quality of compute...
Lowering the radiation dose in computed tomography (CT) can greatly redu...
Hyperspectral Image(HSI) classification is the most vibrant field of res...
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...
Moving object detection is critical for automated video analysis in many...
Over the past few years, dictionary learning (DL)-based methods have bee...
Traditional dictionary learning based CT reconstruction methods are
patc...
Structure-preserved denoising of 3-D magnetic resonance images (MRI) is ...
Compressive sensing (CS) has proved effective for tomographic reconstruc...
Given the potential X-ray radiation risk to the patient, low-dose CT has...
To reduce the potential radiation risk, low-dose CT has attracted much
a...