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 …

Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to
compare the performance of image registration algorithms on several kinds of microscopy …

Medical imaging is considered one of the most important advances in the history of medicine
and has become an essential part of the diagnosis and treatment of patients. Earlier …

Augmented reality (AR) technology, as a computer simulation technology, combines various
technologies such as virtual reality, computer vision, computer network, and human …

Introduction: Longitudinal magnetic resonance imaging (MRI) has an important role in
multiple sclerosis (MS) diagnosis and follow-up. Specifically, the presence of new T2-w …

In this paper, a new deformable image registration method based on a fully connected
neural network is proposed. Even though a deformation field related to the point …

The use of multiple dyes during histological sample preparation can reveal distinct tissue
properties. However, since the slide preparation differs for each dye, the tissue slides are …

This study proposes an end-to-end unsupervised diffeomorphic deformable registration
framework based on moving mesh parameterization. Using this parameterization, a …

Breast cancer is the most common form of cancer in women. Its aggressive nature has made
it one of the chief factors of high female mortality. Therefore, this has motivated research to …

Image processing by segmentation technique is an important phase in medical imaging
such as MRI. Its objective is to analyze the different tissues in human body. In research area …