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 …

This review covers computer-assisted analysis of images in the field of medical imaging.
Recent advances in machine learning, especially with regard to deep learning, are helping …

Deep learning-based methods have recently demonstrated promising results in deformable
image registration for a wide range of medical image analysis tasks. However, existing deep …

Diffeomorphic deformable image registration is crucial in many medical image studies, as it
offers unique, special features including topology preservation and invertibility of the …

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

In this paper, we propose a deep learning approach for image registration by predicting
deformation from image appearance. Since obtaining ground-truth deformation fields for …

Prostate MRI image segmentation has been an area of intense research due to the
increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation …

Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

White matter hyperintensities are associated with increased risk of dementia and cognitive
decline. The current study investigates the relationship between white matter …