We propose a new voxel similarity measure which utilises local image structure as well intensity information. Gaussian scale space derivatives are used to provide the structural in...
Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek...
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem si...
For diagnosis, preoperative planning and postoperative guides, an accurate estimate of joints kinematics is required. We bring together MRI developments and new image processing me...
Benjamin Gilles, Rosalind Perrin, Nadia Magnenat-T...
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
This paper extends our prior work on multi-modal image registration based on the a priori knowledge of the joint intensity distribution that we expect to obtain, and Kullback-Leibl...
Rui Gan, Jue Wu, Albert C. S. Chung, Simon C. H. Y...
This paper describes a method for estimating a human spine posture from human images using a human spine model to compute the rough approximation of the physical forces working on ...
Selecting a threshold for the statistical parameter maps in functional MRI (fMRI) is a delicate matter. The use of advanced test statistics and/or the complex dependence structure ...
This paper introduces a new technique to detect the coronary arteries as well as other heart's peripheral vessels. After finding the location of the myocardium through a graph...
Charles Florin, Romain Moreau-Gobard, James Willia...