Diffusion probabilistic models (DPMs) have exhibited significant effectiveness in computer
vision tasks, particularly in image generation. However, their notable performance heavily …

Diffusion models have shown impressive performance for image generation, often times
outperforming other generative models. Since their introduction, researchers have extended …

Epicardial adipose tissue (EAT) is a type of visceral fat that can secrete large amounts of
adipokines to affect the myocardium and coronary arteries. EAT volume and density can be …

As medical image analysis equipment has evolved and gained popularity, MRI has taken
the forefront in radiological imaging. Since 3D medical images are more complex and …

Intracranial hemorrhage (ICH) is a common clinical emergency that can lead to brain
damage or death in a serious situation with extremely high disability and mortality rates. In …

Automated and accurate segmentation of medical images is important for facilitating clinical
diagnosis and treatment. Currently, state-of-the-art (SOTA) diffusion based medical image …

Nowadays, denoising diffusion probabilistic models have been adapted for many image
segmentation tasks. However, existing end-to-end models have already demonstrated …

The core of medical image registration is the alignment of corresponding structures.
However, in multimodal image registration, substantial differences in appearance (intensity …

In clinical diagnostics, magnetic resonance imaging (MRI) technology plays a crucial role in
the recognition of cardiac regions, serving as a pivotal tool to assist physicians in diagnosing …

Diffusion models have made great success in image generation and own much potential in
other vision tasks like image segmentation. With respect to medical image segmentation …