Search Results - "Kamasak, M"
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Direct reconstruction of kinetic parameter images from dynamic PET data
Published in IEEE transactions on medical imaging (01-05-2005)“…Our goal in this paper is the estimation of kinetic model parameters for each voxel corresponding to a dense three-dimensional (3-D) positron emission…”
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An efficient method for snore/nonsnore classification of sleep sounds
Published in Physiological measurement (01-08-2007)“…A new method to detect snoring episodes in sleep sound recordings is proposed. Sleep sound segments (i.e., 'sound episodes' or simply 'episodes') are…”
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Investigation of sequential properties of snoring episodes for obstructive sleep apnoea identification
Published in Physiological measurement (01-08-2008)“…In this paper, 'snore regularity' is studied in terms of the variations of snoring sound episode durations, separations and average powers in simple snorers…”
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Directional Total Variation
Published in IEEE signal processing letters (01-12-2012)“…This paper introduces a "directional total variation" (TV) where the gradients are weighted depending on their direction. The introduced directional TV has…”
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Clustering Dynamic PET Images on the Projection Domain
Published in IEEE transactions on nuclear science (01-06-2007)“…Segmentation of dynamic PET images is an important preprocessing step for kinetic parameter estimation. A single time activity curve (TAC) is extracted for…”
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Effects of spatial regularization on kinetic parameter estimation for dynamic PET
Published in Biomedical signal processing and control (01-01-2014)“…•This paper investigates the effects of spatial regularization on kinetic parameter estimations of dynamic PET.•Spatial regularization based on Gaussian Markov…”
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A Simple Prior for Audio Signals
Published in IEEE transactions on audio, speech, and language processing (01-06-2013)“…We propose a simple prior for restoration problems involving oscillatory signals. The prior makes use of an underlying analytic frame decomposition with narrow…”
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Support vector selection and adaptation for classification of earthquake images
Published in 2009 IEEE International Geoscience and Remote Sensing Symposium (01-07-2009)“…In this paper, we propose a new machine learning algorithm that we named Support Vector Selection and Adaptation (SVSA). Our aim is to achieve the…”
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Conference Proceeding -
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Direct reconstruction of kinetic parameter images from dynamic PET data
Published in The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003 (2003)“…It is often necessary to estimate the parameters of a compartmental model from PET image data. These kinetic parameters are important because they quantify…”
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Conference Proceeding -
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Support Vector Selection and Adaptation for Remote Sensing Classification
Published in IEEE transactions on geoscience and remote sensing (01-06-2011)“…Classification of nonlinearly separable data by nonlinear support vector machines (SVMs) is often a difficult task, particularly due to the necessity of…”
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Computation of variance in compartment model parameter estimates from dynamic PET data
Published in 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) (01-05-2012)“…This paper investigates the validity of the analytical framework for bias and variance in kinetic parameter estimations. Analytical computation of bias and…”
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Conference Proceeding -
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Classification of pulsars with Dirichlet process Gaussian mixture model
Published 15-01-2020“…Young isolated neutron stars (INS) most commonly manifest themselves as rotationally powered pulsars (RPPs) which involve conventional radio pulsars as well as…”
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Therapeutic Effects of Thymoquinone in a Model of Neuropathic Pain
Published in Current therapeutic research (01-12-2014)“…Abstract Background The goal of our study was to determine the therapeutic effects of thymoquinone in a dose-dependent manner in a model of neuropathic pain…”
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Analysis of kinetic parameter estimates for dynamic PET
Published in 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU) (01-04-2011)“…In this work, a mathematical framework is developed for analytical investigation of bias and variance in kinetic parameter estimation of compartment models for…”
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Conference Proceeding -
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A directional total variation
Published in 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) (01-08-2012)“…Total variation (TV) is an isotropic image prior that penalizes the abrupt changes in the images in all directions. In this paper, we modify TV so as to make…”
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Conference Proceeding -
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Hybrid SVM and SVSA method for classification of remote sensing images
Published in 2010 IEEE International Geoscience and Remote Sensing Symposium (01-07-2010)“…A linear support vector machine (LSVM) is based on determining an optimum hyperplane that separates the data into two classes with the maximum margin. The LSVM…”
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Conference Proceeding -
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Directional total variaton minimization
Published in 2012 20th Signal Processing and Communications Applications Conference (SIU) (01-04-2012)“…Total variation minimization (TVM) is an isotropic functional that penalizes the abrupt changes in all directions in the images. Isotropic TVM is frequently…”
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Conference Proceeding -
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Bias and variance analysis of PET parameters estimated with spatial regularization
Published in 2013 21st Signal Processing and Communications Applications Conference (SIU) (01-04-2013)“…In this work, an analytical framework is developed for bias and variance in the kinetic parameter estimations with spatial regularization in dynamic positron…”
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Conference Proceeding -
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3-D Tomosynthesis Image Reconstruction Using Total Variation
Published in 2012 ASE/IEEE International Conference on BioMedical Computing (BioMedCom) (01-12-2012)“…In tomosynthesis imaging, out-of-focus slice blur problem arises due to incomplete sampling problem. Several approaches have been proposed to deal with this…”
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Conference Proceeding