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 success of deep learning in visual recognition tasks has driven advancements in
multiple fields of research. Particularly, increasing attention has been drawn towards its …

Motion estimation of cardiac MRI videos is crucial for the evaluation of human heart anatomy
and function. Recent researches show promising results with deep learning-based methods …

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267
constitutes the refereed proceedings of the 23rd International Conference on Medical Image …

Cardiac motion estimation plays a key role in MRI cardiac feature tracking and function
assessment such as myocardium strain. In this paper, we propose Motion Pyramid …

Abstract The first Agriculture-Vision Challenge aims to encourage research in develo**
novel and effective algorithms for agricultural pattern recognition from aerial images …

Cardiovascular image registration is an essential approach to combine the advantages of
preoperative 3D computed tomography angiograph (CTA) images and intraoperative 2D X …

Purposes Accurate and efficient spine registration is crucial to success of spine image
guidance. However, changes in spine pose cause intervertebral motion that can lead to …

In dentistry, many diseases, such as gum, cavities, and oral cancer, affect people of all ages.
Early treatment and diagnosis are crucial for minimizing the effect of dental diseases on …

Due to the lack of spatial topology information in 2D medical images, doctors cannot
accurately identify tissues in patients during clinical diagnosis and treatment. 3D medical …