This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …

Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

The establishment of image correspondence through robust image registration is critical to
many clinical tasks such as image fusion, organ atlas creation, and tumor growth monitoring …

Image-guided interventions are saving the lives of a large number of patients where the
image registration should indeed be considered as the most complex and complicated issue …

Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety
problems. The timely detection and identification play a key role in reducing the harm of …

Deformable medical image registration is widely used in medical image processing with the
invertible and one-to-one mapping between images. While state-of-the-art image …

For image registration, feature detection and description are critical steps that identify the
keypoints and describe them for the subsequent matching to estimate the geometric …

Image registration is an essential pre-processing step for several computer vision problems
like image reconstruction and image fusion. In this paper, we present a review on image …

Diffeomorphic image registration, offering smooth transformation and topology preservation,
is required in many medical image analysis tasks. Traditional methods impose certain …

Registration is a fundamental task in medical robotics and is often a crucial step for many
downstream tasks such as motion analysis, intra-operative tracking and image …