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 …

Existing image fusion methods are typically limited to aligned source images and have to
“tolerate” parallaxes when images are unaligned. Simultaneously, the large variances …

In this paper, we propose a novel method to realize multi-modal image registration and
fusion in a mutually reinforcing framework, termed as RFNet. We handle the registration in a …

Multi-modal image registration aims to spatially align two images from different modalities to
make their feature points match with each other. Captured by different sensors, the images …

Many applications, such as autonomous driving, heavily rely on multi-modal data where
spatial alignment between the modalities is required. Most multi-modal registration methods …

Deformable multi-modal medical image registration aligns the anatomical structures of
different modalities to the same coordinate system through a spatial transformation. Due to …

Image registration is the process of bringing different images into a common coordinate
system—a technique widely used in various applications of computer vision, such as remote …

Deformable registration consists of finding the best dense correspondence between two
different images. Many algorithms have been published, but the clinical application was …

Alignment of contrast and non contrast-enhanced imaging is essential for quantification of
changes in several biomedical applications. In particular, the extraction of cartilage shape …

Medical image registration is a critical process for automated image computing, and ideally,
the deformation field from one image to another should be smooth and inverse-consistent in …