This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Segmentation in volumetric images deals with separating `objects' from their `background' in a given 3D data. Usually, one starts with `edge detectors' that give bi...
Abstract. Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinic...
Monica Hernandez, Alejandro F. Frangi, Guillermo S...
This paper considers the problem of tissue classification in 3D MRI by the mean of texture analysis. The main contribution is the use of the phase of the complex MR image, to deri...
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...