The purpose of this paper is to present a survey of recent (published in 1993 or later)
publications concerning medical image registration techniques. These publications will be …

An overview is presented of the medical image processing literature on mutual-information-based
registration. The aim of the survey is threefold: an introduction for those new to the field…

With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis. …

The multiscale second order local structure of an image (Hessian) is examined with the
purpose of developing a vessel enhancement filter. A vesselness measure is obtained on the …

A method is presented for automated segmentation of vessels in two-dimensional color
images of the retina. This method can be used in computer analyses of retinal images, eg, in …

Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance and …

Nonlinear diffusion filtering in image processing is usually performed with explicit schemes.
They are only stable for very small time steps, which leads to poor efficiency and limits their …

Despite generally good performance, mutual information has also been shown by several
researchers to lack robustness for certain registration problems. A possible cause may be the …

… Maintz JBA, van den Elsen PA, Viergever MA. Evaluation of ridge seeking operators for
multimodality medical image matching. IEEE Trans Patt Anal Mach Intell 1996;18:353-65. …

… Van den Elsen PA, Viergever MA: Markerguided registration of electromagnetic dipole data
with tomographic images. In: Colchester ACF, Hawkes DJ (Eds): Infornintion Processing in …