Background and objectives Automatic brain structures segmentation in magnetic resonance
images has been widely investigated in recent years with the goal of hel** diagnosis and …

Medical images acquired from different modalities give rise to many practical problems in
image registration. Intensity-based registration techniques have been increasingly used in …

Image registration is one of the most important image processing tools enabling recognition,
classification, detection and other analysis tasks. Registration methods are used to solve a …

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

Medical image registration is becoming increasingly important in diagnosis and treatment
planning, as it enables to align and integrate different images having a shared content …

This paper describes a hybrid level set approach for medical image segmentation. This new
geometric deformable model combines region-and edge-based information with the prior …

In medical imaging there is a special interest in relating information from different images
frequently used for diagnosis or treatment. Image registration (IR) involves the …

We present a novel unsupervised image registration algorithm using mutual information
(MI). It is differentiable end-to-end and can be used for both multi-modal and mono-modal …

This study presents an optimization algorithm, called united equilibrium optimizer (UEO),
which is modified from the equilibrium optimizer (EO). We improved the search structure of …

Medical image registration, by transforming two or more sets of imaging data into one
coordinate system, plays a central role in medical robotics and intelligent systems from …