"Signal-To-Noise Ratio" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The comparison of the quantity of meaningful data to the irrelevant or incorrect data.
| Descriptor ID |
D059629
|
| MeSH Number(s) |
E05.318.740.872.875 E05.318.780.800.875 G17.800.500 N05.715.360.750.725.750 N05.715.360.780.700.840 N06.850.520.445.800.875 N06.850.520.830.872.750
|
| Concept/Terms |
Signal-To-Noise Ratio- Signal-To-Noise Ratio
- Ratio, Signal-To-Noise
- Ratios, Signal-To-Noise
- Signal To Noise Ratio
- Signal-To-Noise Ratios
|
Below are MeSH descriptors whose meaning is more general than "Signal-To-Noise Ratio".
Below are MeSH descriptors whose meaning is more specific than "Signal-To-Noise Ratio".
This graph shows the total number of publications written about "Signal-To-Noise Ratio" by people in this website by year, and whether "Signal-To-Noise Ratio" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2012 | 0 | 2 | 2 |
| 2013 | 1 | 2 | 3 |
| 2014 | 0 | 13 | 13 |
| 2015 | 0 | 5 | 5 |
| 2016 | 0 | 4 | 4 |
| 2017 | 0 | 9 | 9 |
| 2018 | 1 | 8 | 9 |
| 2019 | 0 | 3 | 3 |
| 2020 | 0 | 1 | 1 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 1 | 1 |
| 2023 | 0 | 1 | 1 |
| 2024 | 2 | 1 | 3 |
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Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.
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Investigation of triaxial cables and microdetectors in small field dosimetry. Biomed Phys Eng Express. 2024 05 28; 10(4).
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Optimizing dual-energy CT technique for iodine-based contrast-to-noise ratio, a theoretical study. Med Phys. 2024 Apr; 51(4):2871-2881.
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Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI. Magn Reson Med. 2024 Jul; 92(1):319-331.
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Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss. Comput Methods Programs Biomed. 2023 Dec; 242:107802.
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Deep Learning Denoising for Myocardial Perfusion CT with a Residual Dense Network. Radiology. 2022 10; 305(1):92-93.
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Signal intensity form of the Tofts model for quantitative analysis of prostate dynamic contrast enhanced MRI data. Phys Med Biol. 2021 01 22; 66(2):025002.
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Efficiency of Fat Suppression in T1-Weighted Inner Ear Magnetic Resonance Imaging: Multipoint Dixon Method Versus Hybrid Techniques. Curr Med Imaging. 2021; 17(7):884-888.
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[Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020; 76(11):1143-1151.
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Natively fat-suppressed 5D whole-heart MRI with a radial free-running fast-interrupted steady-state (FISS) sequence at 1.5T and 3T. Magn Reson Med. 2020 01; 83(1):45-55.
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Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. Br J Radiol. 2019 Nov; 92(1103):20190302.