Technical Note: Emission expectation maximization look‐alike algorithms for x‐ray CT and other applications
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13077
Abstract: PURPOSE In emission tomography, the expectation maximization (EM) algorithm is easy to use with only one parameter to adjust - the number of iterations. On the other hand, the EM algorithms for transmission tomography are… read more here.
Keywords: emission; expectation maximization; look alike; tomography ... See more keywords
Expectation maximization based sparse identification of cyberphysical system
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5325
Abstract: A hybrid dynamics modeling method based on expectation‐maximization (EM) is proposed in this article. The dynamics include continuous dynamic equations that depend on the combination of continuous and discrete states, so it is often used… read more here.
Keywords: expectation maximization; identification; system; cyberphysical system ... See more keywords
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9534
Abstract: When an infectious disease recurs, it may be due to treatment failure or a new infection. Being able to distinguish and classify these two different outcomes is critical in effective disease control. A multi‐state model… read more here.
Keywords: classification; disease; expectation maximization; transition likelihoods ... See more keywords
Multimodal 3D rigid image registration based on expectation maximization
Sign Up to like & getrecommendations! Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-019-00353-0
Abstract: Image registration is an important task in medical imaging, capable of finding displacement fields to align two images of the same anatomic structure under different conditions (e.g. acquisition time and body position). Specifically, multimodal image… read more here.
Keywords: image; image registration; expectation maximization; registration ... See more keywords
Bayesian cylindrical data modeling using Abe–Ley mixtures
Sign Up to like & getrecommendations! Published in 2019 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2018.11.039
Abstract: Abstract This paper proposes a Metropolis–Hastings algorithm based on Markov chain Monte Carlo sampling, to estimate the parameters of the Abe–Ley distribution, which is a recently proposed Weibull-Sine-Skewed-von Mises mixture model, for bivariate circular-linear data.… read more here.
Keywords: mixture; abe ley; expectation maximization; ley mixtures ... See more keywords
Non-negative variance component estimation for the partial EIV model by the expectation maximization algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Geomatics, Natural Hazards and Risk"
DOI: 10.1080/19475705.2020.1785955
Abstract: Abstract A difficulty in variance component estimation (VCE) is that the estimates may become negative, which is not acceptable in practice. This article presents two new methods for non-negative VCE that utilize the expectation maximization… read more here.
Keywords: component estimation; expectation maximization; variance; non negative ... See more keywords
A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework
Sign Up to like & getrecommendations! Published in 2017 at "Cogent Psychology"
DOI: 10.1080/23311908.2017.1279435
Abstract: The Expectation-Maximization (EM) algorithm is a method for finding the maximum likelihood estimate of a model in the presence of missing data. Unfortunately, EM does not produce a parameter covariance matrix for standard errors. Both… read more here.
Keywords: parameter covariance; estimation; item response; response ... See more keywords
Hybrid PET-MR list-mode kernelized expectation maximization reconstruction
Sign Up to like & getrecommendations! Published in 2019 at "Inverse Problems"
DOI: 10.1088/1361-6420/ab013f
Abstract: The recently introduced kernelized expectation maximization (KEM) method has shown promise across varied applications. These studies have demonstrated the benefits and drawbacks of the technique when the kernel matrix is estimated from separate anatomical information,… read more here.
Keywords: reconstruction; list mode; expectation maximization; kernelized expectation ... See more keywords
An expectation–maximization framework for comprehensive prediction of isoform-specific functions
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad132
Abstract: Abstract Motivation Advances in RNA sequencing technologies have achieved an unprecedented accuracy in the quantification of mRNA isoforms, but our knowledge of isoform-specific functions has lagged behind. There is a need to understand the functional… read more here.
Keywords: isoform; isoform specific; ontology; specific functions ... See more keywords
Engine Working State Recognition Based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2975113
Abstract: Increasingly energy and environmental crises put forward higher request on diesel engine. It promotes the development of diesel engine, while the complexity of structure is much higher, which leads to higher probability of faults. In… read more here.
Keywords: decomposition; expectation maximization; mode decomposition; variational mode ... See more keywords
A Bilinear GAMP-Based Receiver for Quantized mmWave Massive MIMO Using Expectation Maximization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2018.2881144
Abstract: We propose a joint channel estimation and data detection approach based on expectation maximization for quantized millimeter wave massive multiple-input and multiple-output systems. Unlike the conventional compressed sensing method, estimating channel based on pilots, the… read more here.
Keywords: expectation; expectation maximization; gamp based; bilinear gamp ... See more keywords