The original use of biofeedback to train single muscle activity in static positions or movement
unrelated to function did not correlate well to motor function improvements in patients with …

Automatic medical image segmentation is an unsolved problem that has captured the
attention of many researchers. The purpose of this survey is to identify a representative set of …

Multisensor fusion and integration is a rapidly evolving research area and requires
interdisciplinary knowledge in control theory, signal processing, artificial intelligence …

Speaker verification systems have achieved great progress in recent years. Unfortunately,
they are still highly prone to different kinds of spoofing attacks such as speech synthesis …

This paper addresses a novel approach to the multimodal medical image fusion (MIF)
problem, employing multiscale geometric analysis of the nonsubsampled contourlet …

Joint analysis of medical data collected from different imaging modalities has become a
common clinical practice. Therefore, image fusion techniques, which provide an efficient …

Uncertainty in circuit performance due to manufacturing and environmental variations is
increasing with each new generation of technology. It is therefore important to predict the …

The objective of this paper is to make a picture of the recent articles published on
information fusion. Indeed, a great number of documents dealing with this technique are …

By 'model'we mean a mathematical description of a world aspect. With the proliferation of
computers a variety of modeling paradigms emerged under computational intelligence and …

Recent, rapid advances in mathematical engineering and applied mathematics have
opened the door to solving complex problems in angiography imaging. For the first time, this …