Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

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 …

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 …

With rapid advancements in remote sensing image registration algorithms, comprehensive
imaging applications are no longer limited to single-modal remote sensing images. Instead …

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 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 …

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 …

Multimodal medical image registration involves multiple pieces of medical equipment
collecting complementary information on the same content, resulting in information fusion …

With the accelerated development of medical imaging equipment and techniques, image
fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency …

The large variety of medical image modalities (eg Computed Tomography, Magnetic
Resonance Imaging, and Positron Emission Tomography) acquired from the same body …