MRI and PET image fusion using the nonparametric density model and the theory of variable-weight
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.04.010
Abstract: Medical image fusion is important in the field of clinical diagnosis because it can improve the availability of information contained in images. Magnetic Resonance Imaging (MRI) provides excellent anatomical details as well as functional information… read more here.
Keywords: nonparametric density; fusion; mri pet; image fusion ... See more keywords
Nonparametric Density Estimation of Hierarchical Probabilistic Graph Models for Assumption-Free Monitoring
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.6b04068
Abstract: Probabilistic graphical models, such as Bayesian networks, have recently gained attention in process monitoring and fault diagnosis. Their application, however, is limited to discrete or continuous Gaussian distributed variables, which results from the difficulty in… read more here.
Keywords: estimation; hierarchical probabilistic; density estimation; density ... See more keywords
Density Distillation for Fast Nonparametric Density Estimation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3160939
Abstract: Nonparametric density estimation has been extensively used in various application scenarios and theoretical models. However, the modeling of these powerful methods is inseparable from the sample data and comes at the cost of repeated and… read more here.
Keywords: density; density estimation; estimation; density distillation ... See more keywords