Image registration aims to establish spatial correspondence across pairs, or groups of
images, and is a cornerstone of medical image computing and computer-assisted …

Medical images are often characterized by their structured anatomical representations and
spatially inhomogeneous contrasts. Leveraging anatomical priors in neural networks can …

Many existing learning-based deformable image registration methods impose constraints on
deformation fields to ensure they are globally smooth and continuous. However, this …

Deformable image registration, the estimation of the spatial transformation between different
images, is an important task in medical imaging. Deep learning techniques have been …

Image registration of liver dynamic contrast-enhanced computed tomography (DCE-CT) is
crucial for diagnosis and image-guided surgical planning of liver cancer. However, intensity …

Image registration is fundamental in medical imaging applications, such as disease
progression analysis or radiation therapy planning. The primary objective of image …

Medical image registration is a challenging task involving the estimation of spatial
transformations to establish anatomical correspondence between pairs or groups of images …

Objective. Sliding motion may occur between organs in anatomical regions due to
respiratory motion and heart beating. This issue is often neglected in previous studies …

Objective Dynamic magnetic resonance (MR) imaging enables visualisation of articulators
during speech. There is growing interest in quantifying articulator motion in two-dimensional …