Medical image registration is an active research topic and forms a basis for many medical
image analysis tasks. Although image registration is a rather general concept specialized …

Image registration is fundamental in medical imaging applications, such as disease
progression analysis or radiation therapy planning. The primary objective of image …

Parametric spatial transformation models have been successfully applied to image
registration tasks. In such models, the transformation of interest is parameterized by a fixed …

Registration of thoracic images is central when studying for example physiological changes
of the lung. Due to sliding organ motion and intensity changes based on respiration the …

Most traditional image registration algorithms aimed at aligning a pair of images impose well-
established regularizers to guarantee smoothness of unknown deformation fields. Since …

We introduce a meta-regularization framework for learning-based image registration.
Current learning-based image registration methods use high-resolution architectures such …

Medical image registration is a fundamental and vital task in medical image analysis.
Deformable medical image registration generates a dense nonlinear transformation from the …

Thoracic image registration forms the basis for many applications as for example respiratory
motion estimation and physiological investigations of the lung. Although clear motion …

The registration of abdominal images is central in the analysis of motion patterns and
physiological investigations of abdominal organs. Challenges which arise in this context are …

Recognizing significant temporal changes in the thickness of the choroid and retina at an
early stage is a crucial factor in the prevention and treatment of ocular diseases such as …