Score-based generative model (SGM) has demonstrated great potential in the challenging
limited-angle CT (LA-CT) reconstruction. SGM essentially models the probability density of …

The evolution of diffusion models has greatly impacted video generation and understanding.
Particularly, text-to-video diffusion models (VDMs) have significantly facilitated the …

Super-resolution (SR) techniques have revolutionized the field of biomedical applications by
detailing the structures at resolutions beyond the limits of imaging or measuring tools. These …

We propose a new algorithm for the problem of recovering data that adheres to multiple,
heterogenous low-dimensional structures from linear observations. Focussing on data …

Automatic vertebral osteophyte recognition in Digital Radiography is of great importance for
the early prediction of degenerative disease but is still a challenge because of the tiny size …

Objective. X-ray computed tomography employing sparse projection views has emerged as
a contemporary technique to mitigate radiation dose. However, due to the inadequate …

Objective. In Magnetic Resonance (MR) parallel imaging with virtual channel-expanded
Wave encoding, limitations are imposed on the ability to comprehensively and accurately …

Electrolysis stands as a pivotal method for environmentally sustainable hydrogen
production. However, the formation of gas bubbles during the electrolysis process poses …

Magnetic Resonance Imaging (MRI) is one of the most important medical imaging modalities
as it provides superior resolution of soft tissues, albeit with a notable limitation in scanning …

Recently, in some special situations, linear computed tomography (LCT) systems have
provided better imaging solutions for internal structures compared with conventional CT …