Javad Alirezaie

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A fast and robust algorithm was developed for automatic segmentation of the left ventricular endocardial boundary in echocardiographic images. The method was applied to calculate left ventricular volume and ejection fraction estimation. A fast adaptive B-spline snake algorithm that resolves the computational concerns of conventional active contours and(More)
Reverse engineering of gene regulatory networks (GRNs) is the process of estimating genetic interactions of a cellular system from gene expression data. In this paper, we propose a novel hybrid systematic algorithm based on neurofuzzy network for reconstructing GRNs from observational gene expression data when only a medium-small number of measurements are(More)
In this paper, a fully automated method for segmenting Left Ventricle (LV) in echocardiography images is proposed. A new method named active ellipse model is developed to automatically find the best ellipse inside the LV chamber without intervention of any specialist. A modified B-Spline Snake algorithm is used to segment the LV chamber in which the initial(More)
Negative pressure ventilation via an external device (‘iron lung’) has the potential to provide better oxygenation with reduced barotrauma in patients with ARDS. This study was designed to see if oxygenation differences between positive and negative ventilation could be explained by CT. Six anaesthetized rabbits had ARDS induced by repeated saline lavage.(More)
Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by gene mutations, chemicals or both. Manual(More)
Dictionary learning for sparse representation has recently attracted attention among the signal processing society in a variety of applications such as denoising, classification, and compression. The number of elements in a learned dictionary is crucial since it governs specificity and optimality of sparse representation. Sparsity level, number of(More)
The performance of ICA algorithms in correct separation of independent sources can be highly affected by existence of noises in the observation data. In this paper a hybrid Wavelet-ICA method for improving the functionality of noise free ICA algorithms in noisy environment is proposed. At first the robustness of two most frequent ICA algorithms, named Fast(More)
1 Faculty of Electrical Engineering, K.N. Toosi University of Technology, P. O. Box 16315-1355, Tehran, Iran 2Unité de Génie Biophysique et Médical, Groupe de Recherche sur l’Analyse Multimodale de la Fonction Cérébrale (GRAMFC), Faculté de Médecine, 3 rue des Louvels, 80036 AMIENS cedex, France 3 School of Information Technology and Engineering, University(More)
Acute respiratory distress syndrome (ARDS) can occur in people with or without previous lung disease. Analysis of aeration in artificial ventilation for ARDS is one of the major applications of computed tomography (CT) lung density examination. A movie of an affected rabbit lung over the respiratory cycle was produced by dynamic CT with a cine loop(More)
The preprocessing step of most computer-aided diagnosis (CAD) systems for identifying the lung diseases is lung segmentation. We present a novel lung segmentation technique based on watershed transform, which is fast and accurate. Lung region is precisely marked with internal and external markers. The markers are combined with the gradient image of the(More)