The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

Motivated by the rapid and current progress to develop intelligent image-guided intervention
tools, we aim in this paper to present, a recent review of a specific family of deep learning …

Over the past decade, deep learning technologies have greatly advanced the field of
medical image registration. The initial developments, such as ResNet-based and U-Net …

Deformable medical image registration can achieve fast and accurate alignment between
two images, enabling medical professionals to analyze images of different subjects in a …

Background and objective Non-rigid image registration plays a significant role in computer-
aided diagnosis and surgical navigation for brain diseases. Registration methods that utilize …

The Transformer structures have been widely used in computer vision and have recently
made an impact in the area of medical image registration. However, the use of Transformer …

This paper introduces a novel top-down representation approach for deformable image
registration which estimates the deformation field by capturing various short-and long-range …

Unsupervised deep learning techniques have gained increasing popularity in deformable
medical image registration However, existing methods usually overlook the optimal similarity …

Medical image registration is a critical task that estimates the spatial correspondence
between pairs of images. However, current traditional and learning-based methods rely on …

To precisely diagnose neurological diseases, such as Alzheimer's disease, clinicians need
to observe the microstructural changes of local brain atrophy with the help of structural …