We propose a novel approach for improving level set seg-
mentation methods by embedding the potential functions
from a discriminatively trained conditional random field
(CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
In [8], the authors proposed the large deformation logunbiased diffeomorphic nonlinear image registration model which has been successfully used to obtain theoretically and intuit...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Lu...
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constan...
Sheshadri Thiruvenkadam, Tony F. Chan, Byung-Woo H...
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. This study investigates overlap priors for variational tracking of the Left Ventricle (LV...