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To enhance the visibility of organs as they are scanned with magnetic resonance imaging (MRI), patients are usually injected with a compound known as a contrast agent before going into the scanner. Th...
Many conventional contrast enhancement techniques adopt a global approach to enhance all the brightness level of the image. However, it is usually difficult to enhance all land cover classes appearing...
A quantitative interrelation between the physical parameters of electromagnetic and acoustic waves perceived by the sight and hearing organs of a human has been discovered. It is shown that visible li...
We present in this paper a new method for contrast enhancement based on the curvelet transform. The curvelet transform represents edges better than wavelets, and is therefore well-suited for multiscal...
Background and objectives: No prospective study has reported the incidence of contrast-induced nephropathy (CIN) or the associated morbidity and mortality after contrast-enhanced computed tomography (...
Objective: The aim of this study was to determine the 1-year mortality risk subsequent to Contrast-Induced Nephropathy (CIN) following CECT imaging, relative to other well-recognized predictors of mor...
In a model of the form $Y=h(X_1,\ldots,X_d)$ where the goal is to estimate a parameter of the probability distribution of $Y$, we define new sensitivity indices which quantify the importance of each v...
Matching patches from a noisy image to atoms in a dictionary of patches is a key ingredient to many techniques in image processing and computer vision. By representing with a single atom all patches t...
Matching patches from a noisy image to atoms in a dictionary of patches is a key ingredient to many techniques in image processing and computer vision. By representing with a single atom all patches t...
Many statistical data are imprecise due to factors such as mea-surement errors, computation errors, and lack of information. In such cases, data are better represented by intervals rather thanby singl...
In the present paper we consider the problem of Laplace deconvolution with noisy discrete observations. The study is motivated by Dynamic Contrast Enhanced imaging using a bolus of contrast agent, a p...
The article aims to compare the role that the International Criminal Court, as opposed to local courts is able to play in providing restorative justice in post-conflict societies. The author examines ...
We survey classical kernel methods for providing nonparametric solutions to problems involving measurement error. In particular we outline kernel-basedmethodology in this setting, and discuss its ba...
Independent component analysis (ICA) aims at decomposing an observed random vector into statistically independent variables. Deflation-based implementations, such as the popular one-unit FastICA algo...
Noninvasive measurement of pressure within the heart cavities and other internal organs (e.g., kidney, liver) has significant clinical value but currently is not feasible. Noninvasive pressure estim...

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