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 …

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 …

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 …

Screening colonoscopy is an important clinical application for several 3D computer vision
techniques, including depth estimation, surface reconstruction, and missing region …

Abstract 2D/3D image registration to align a 3D volume and 2D X-ray images is a
challenging problem due to its ill-posed nature and various artifacts presented in 2D X-ray …

In medicine, image registration is vital in image-guided interventions and other clinical
applications. However, it is a difficult subject to be addressed which by the advent of …

Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …

Abstract Three-dimensional (3D) deformable image registration is a fundamental technique
in medical image analysis tasks. Although it has been extensively investigated, current deep …

Registration is a ubiquitous operation in Visual Computing, with applications in 3D object
retrieval among others. Registration is the process of overlaying two or more datasets taken …

Two-dimensional (2D)/three-dimensional (3D) registration is critical in clinical applications.
However, existing methods suffer from long alignment times and high doses. In this paper, a …