In this paper, we consider the unilateral frictional contact problem of a hyperelastic body in the case of large displacements and small strains. In order to retain the linear elasticity framework, we decompose the deformation into a large global rotation and a small elastic displacement. This co-rotational approach is combined with a primal-dual active set strategy to tackle the contact proble...

In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critical for specific protein activity quantification and for cancer diagnosis and therapy. We present a fully automated morphology-based technique able to perform accurate nuclear segmentations in images with heterogeneous staining and multiple tissue layers and we compare it with an alternate semi-au...

One hundred thirteen community dwelling subjects between the ages of 50 and 75 without dementia were recruited. A blind administrator randomly assigned 54 subjects to placebo and 59 to active treatment groups. The active treatment consisted of four months treatment with a complex antioxidant blend. Placebo treatment was an identical gel and bottle administered for four months. Forty-eight activ...

In virtual reality and teleoperation scenarios, active constraints can be used to guide a user, prevent him from entering forbidden regions, and assist him in general. On a haptic interface, this implies superimposing the forces generated by the active constraints on top of the forces that are generated by the environment (real or virtual). This creates the problem of distinguishing from which ...

BACKGROUND Promising evidence has emerged of clinical gains using guided self-help cognitive-behavioural therapy (CBT) for child anxiety and by involving parents in treatment; however, the efficacy of guided parent-delivered CBT has not been systematically evaluated in UK primary and secondary settings. AIMS To evaluate the efficacy of low-intensity guided parent-delivered CBT treatments for ...

This paper considers the sparse Gaussian conditional random field, a discriminative extension of sparse inverse covariance estimation, where we use convex methods to learn a high-dimensional conditional distribution of outputs given inputs. The model has been proposed by multiple researchers within the past year, yet previous papers have been substantially limited in their analysis of the metho...

This article deals with the so called GVF (Gradient Vector Flow) introduced by C. Xu, J.L. Prince [14, 15]. We give existence and uniqueness results for the front propagation flow for boundary extraction that was initiated by Paragios, Mellina-Gottardo et Ralmesh [11, 12]. The model combines the geodesic active contour flow and the GVF to determine the geometric flow. The motion equation is con...

Locating the boundary of a head in a head-and-shoulders image is an important problem in model based coding. An approach to this problem using adaptive contour models or 'snakes' is presented. The paper provides a tutorial introduction to the theory of snakes and shows in some detail how they may be implemented using a finite difference method. Some experimental results are presented showing sn...

It is well known that the statistical power of randomized controlled trials with a continuous outcome can be increased by using a pre-randomization baseline measure of the outcome variable as a covariate in the analysis. For a trial where the outcome measure is a rate, for example in a therapeutic trial in Alzheimer's disease, the relevant covariate is a pre-randomization measure of that rate. ...