Quantification in magnetic resonance spectroscopy based on semi-parametric approaches. - Wikidata - wikimedia - TriplyDB

Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

http://www.wikidata.org/entity/Q38124689

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Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance In vivo functional neurochemistry of human cortical cholinergic function during visuospatial attention.Big GABA: Edited MR spectroscopy at 24 research sites.Quantification of 1 H-MRS signals based on sparse metabolite profiles in the time-frequency domain.Refined modelling of the short-T2 signal component and ensuing detection of glutamate and glutamine in short-TE, localised, (1) H MR spectra of human glioma measured at 3 T.Cholinergic Neurotransmission in the Posterior Insular Cortex Is Altered in Preclinical Models of Neuropathic Pain: Key Role of Muscarinic M2 Receptors in Donepezil-Induced Antinociception.Myo-inositol concentration in MR spectroscopy for differentiating high grade glioma from primary central nervous system lymphoma.Separation of small metabolites and lipids in spectra from biopsies by diffusion-weighted HR-MAS NMR: a feasibility study.

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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

http://www.wikidata.org/entity/Q38124689

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article científic

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article scientifique

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artigo científico

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artikel ilmiah

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artikull shkencor

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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

@en

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S10334-013-0393-4

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Magnetic Resonance Materials in Physics, Biology and Medicine

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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

@en

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Danielle Graveron-Demilly

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P2860

Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting

Robust Locally Weighted Regression and Smoothing Scatterplots

Application of multiple inversion recovery for suppression of macromolecule resonances in short echo time (1)H NMR spectroscopy of human brain.

In vivo 1H NMR spectroscopy of the human brain at 9.4 T: initial results.

Optimized quantitative magnetic resonance spectroscopy for clinical routine.

Cramér-Rao bounds: an evaluation tool for quantitation.

Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signals.

Magnetic resonance spectroscopy: current and future applications in psychiatric research.

The potential of proton magnetic resonance spectroscopy ((1)H-MRS) in the diagnosis and management of patients with brain tumors.

Improved Lanczos algorithms for blackbox MRS data quantitation.

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s10334-013-0393-4

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113-130

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scholarly article

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10.1007/S10334-013-0393-4

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2

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27

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2013-07-28T00:00:00Z

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23892473

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