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This work shows an application of algorithms in which fuzzy techniques are used. It is focused on the automation of image analysis for use with a non-invasive technique, as magnetic resonance, in multiple sclerosis patients, and specifically in detection of the smallest lesions. The typical uncertainty in the definition of these lesions lead us to consider that a fuzzy approach is a good solution to the problem.The design of the algorithm is based on the definition of a rule set, which enable feature...
Impairment of left ventricular contractility due to
cardiovascular diseases is reflected in left ventricle (LV) motion
patterns. An abnormal change of torsion or long axis shortening LV
values can help with the diagnosis and follow-up of LV
dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread
medical imaging modality that allows estimation of the myocardial
tissue local deformation. In this work, we introduce a novel
variational framework for extracting the left ventricle dynamics
from...
A biophysical model describing long-range cell-to-cell communication by a diffusible
signal mediated by autocrine loops in developing epithelia in the presence of a
morphogenetic pre-pattern is introduced. Under a number of approximations, the model
reduces to a particular kind of bistable reaction-diffusion equation with strong
heterogeneity. In the case of the heterogeneity in the form of a long strip a detailed
analysis of signal propagation is...
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