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 …

Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

The process of aligning one image, in the coordinate system of another is called registration.
Image registration is vital in the medical domain and is used for diagnosis, therapy planning …

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 …

Model-based approaches for image reconstruction, analysis, and interpretation have made
significant progress over the past decades. Many of these approaches are based on either …

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 …

Fetal MRI is widely used for quantitative brain volumetry studies. However, currently, there is
a lack of universally accepted protocols for fetal brain parcellation and segmentation …