BACKGROUND AND PURPOSE: Lesion load is a common biomarker in multiple sclerosis,
yet it has historically shown modest association with clinical outcome. Lesion count, which …

We present a framework for intrinsic comparison of surface metric structures and curvatures.
This work parallels the work of Kurtek et al. on parameterization-invariant comparison of …

Here we present an algorithm for the simultaneous registration of N longitudinal image pairs
such that information acquired by each pair is used to constrain the registration of each …

We propose a new approach to Multiple Sclerosis lesion segmentation that utilizes synthesized
images. A new method of image synthesis is considered: joint intensity fusion (JIF). JIF …

The purpose of this paper is to report on experiences at the University of Wyoming, Department
of Accounting when developing a written research productivity policy for use in tenure …

We investigate the properties of radio bursts observed in the 1-18 GHz frequency range that
display two distinct spectral components peaking at decimetric (dm) and centimetric (cm) …

In longitudinal imaging studies, geodesic regression in the space of diffeomorphisms [9] can
be used to fit a generative model to images over time. The parameters of the model, …

Image templates, or atlases, play a critical role in imaging studies by providing a common
anatomical coordinate system for analysis of shape and function. It is now common to estimate …

… continuous approximation is sufficient for many practical applications, the low-frequency
harmonic structure can also often be of interest, especially for the anisotropic case (Fleishman & …

Diffeomorphic image registration algorithms are widely used in medical imaging, and
require optimization of a high-dimensional nonlinear objective function. The function being …