Top PDF Unmixing dynamic PET images with variable specific binding kinetics
Unmixing dynamic PET images with variable specific binding kinetics
... of dynamic PET images. It relied on the unmixing concept ac- counting for specific binding TACs ...non-convex with highly correlated factors and variabil- ity basis ...
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Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise
... of dynamic PET images, the β-divergence is applied to three mixing models from the literature: nonnegative matrix factorization (NMF) [4], linear mixing model (LMM) [13] and specific ...
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Unmixing dynamic PET images for voxel-based kinetic component analysis
... analyze dynamic positron emission tomography (PET) images, various generic multivariate data analysis techniques have been considered in the literature, such as clustering, principal component ...
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Factor analysis of dynamic PET images: beyond Gaussian noise
... confirmed with the results of ...latent variable (in terms of NMSE). The factorization with β-SLMM requires the tuning of parameter λ, which controls the sparsity of the internal ...50it ...
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Unmixing dynamic PET images with a PALM algorithm
... analyzing dynamic positron emission tomography (PET) ...a PET-dedicated mixing model and an associated unmixing algorithm are derived to jointly estimate time-activity curves (TAC) ...
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Unmixing dynamic PET images with a PALM algorithm
... analyzing dynamic positron emission tomography (PET) ...a PET-dedicated mixing model and an associated unmixing algorithm are derived to jointly estimate time-activity curves (TAC) ...
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Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise
... of dynamic PET images, the β-divergence is applied to three mixing models from the literature: nonnegative matrix factorization (NMF) [4], linear mixing model (LMM) [13] and specific ...
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Factor analysis of dynamic PET images: beyond Gaussian noise
... confirmed with the results of ...latent variable (in terms of NMSE). The factorization with β-SLMM requires the tuning of parameter λ, which controls the sparsity of the internal ...50it ...
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3D+t segmentation of PET images using spectral clustering
... obtained with AD-KSC compared to other methods, its use for clinical applications is still constrained to 2D+t PET data due to the computation complexity of the dominant ...to PET data. Several ...
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3D+t segmentation of PET images using spectral clustering
... realistic PET images We performed GATE Monte Carlo simulations of Gemini GXL PET 4D ...region with no activity corresponding to the air around the ...60s dynamic frames. The ...
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Rumen methanogens display species-specific methane production kinetics
... Species-specific metabolism kinetics revealed by this study suggest differentiation within methanogenesis niche- specialists that may be important to understand. Methanogens physiology will be further ...
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Variable selection for dynamic treatment regimes
... dernst@ulg.ac.be Nowadays, many illnesses as for example HIV/AIDS, cancer or psychological diseases are seen by the medical community as being chronic-like diseases. For treating such diseases, physicians often adopt ...
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Differential Interaction Kinetics of a Bipolar Structure- Specific Endonuclease with DNA Flaps Revealed by Single-Molecule Imaging Differential Interaction Kinetics of a Bipolar Structure-Specific Endonuclease with DNA Flaps
... duplexes with a single-stranded 59- or 39-overhang), and fork ...exhibit specific cleavage activity on the 59-flap structures often belong to the flap endonuclease-1 (FEN1) family of endonucleases [1,2], ...
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Dynamic Load-Balancing with Variable Number of Processors based on Graph Repartitioning
... Abstract: Dynamic load balancing is an important step conditioning the performance of parallel adaptive codes whose load evolution is difficult to ...a variable number of processors, assuming the load is ...
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Nonlinear unmixing of hyperspectral images based on multi-kernel learning
... fronted with the bilinear and post-nonlinear mixing ...compared with the fully constrained least square method (FCLS) [9], the kernel fully constrained least square method (KFCLS) [8], the extended ...
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Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
... latent variable model. The unmixing procedure assumed a nonlinear mapping from the abundance space to the observed ...the unmixing proce- dure, consisting of Þrst estimating the abundance vectors and ...
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Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
... the elementary patches extracted from the virtual panchromatic image computed by averaging the hyperspectral bands. C. Coupling Spatial and Spectral Mixing Models Sections II-A and II-B have defined two matrix factoriza- ...
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Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images
... Results reported in Table I show that the proposed co- factorization framework outperforms both RF and D-KSVD in term of classification. Regarding spectral unmixing, FCLS and CBPDN reach lower REs which is ...
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Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images
... endmembers with real ones in the top of ...matrix with its closest counterpart in the original generated abundance matrix using the mean of SAM error calculated ...
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Nonlinear unmixing of hyperspectral images using a generalized bilinear model
... spectral unmixing has been receiving considerable attention in the signal and image processing literature (see, for instance, [1] and the references ...therein). Unmixing hyperspectral images is ...
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