Optical coherence tomography (OCT) is a noninvasive, depth-resolved imaging modality
that has become a prominent ophthalmic diagnostic technique. We present a semi …

Over the past decade, deep learning technologies have greatly advanced the field of
medical image registration. The initial developments, such as ResNet-based and U-Net …

We propose a deformable image registration algorithm that uses anisotropic smoothing for
regularization to find correspondences between images of sliding organs. In particular, we …

620 Medical Imaging example, provide structural information of our body (eg, an anatomical
map), but do not convey functional information*(ie, relating to metabolic functions of an …

Analyses of the human tongue motion as captured from 2D dynamic ultrasound data often
requires segmentation of the mid-sagittal tongue contours. However, semi-automatic …

This paper introduces a novel method for inferring spatially varying regularisation in non-
linear registration. This is achieved through full Bayesian inference on a probabilistic …

In this paper we present a novel geometric framework called geodesic active fields for
general image registration. In image registration, one looks for the underlying deformation …

We introduce a novel discrete optimization method for nonrigid image registration based on
the random walker algorithm. We discretize the space of deformations and formulate …

We present a local affine-based adaptive regularization approach as an alternative to the
homogeneous regularization used in Thirion's demons non-rigid registration algorithm …

We introduce the STEAM DTI analysis engine: a whole brain voxel-based analysis
technique for the examination of diffusion tensor images (DTIs). Our STEAM analysis …