"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 | 12 | 12 |
| 2015 | 0 | 5 | 5 |
| 2016 | 0 | 4 | 4 |
| 2017 | 0 | 9 | 9 |
| 2018 | 1 | 8 | 9 |
| 2019 | 0 | 4 | 4 |
| 2020 | 0 | 1 | 1 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 1 | 1 |
| 2023 | 0 | 1 | 1 |
| 2024 | 3 | 1 | 4 |
| 2025 | 1 | 8 | 9 |
| 2026 | 1 | 2 | 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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Empirical noise mapping guides optimal region-of-interest selection for accurate noise estimation in prostate DWI. J Appl Clin Med Phys. 2026 Sep; 27(9):e70738.
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Low-dose CT imaging using a regularization-enhanced efficient diffusion probabilistic model. Med Phys. 2026 Aug; 53(8):e70626.
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Assessing imaging performance of ultrasound systems using a random hypoechoic sphere phantom with freehand scanning. Med Phys. 2026 Jan; 53(1):e70278.
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ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U-Nets. Magn Reson Med. 2026 Apr; 95(4):2384-2396.
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Res-MoCoDiff: residual-guided diffusion models for motion artifact correction in brain MRI. Phys Med Biol. 2025 10 17; 70(20).
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A novel high order directional total variation algorithm of EPR imaging for fast scan. J Xray Sci Technol. 2026 Jan; 34(1):27-38.
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Optimized 3D UTE and ZTE MRI for high-resolution lung imaging: A comparative study. Magn Reson Med. 2026 Feb; 95(2):962-974.
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Deep-learning reconstruction for noise reduction in respiratory-triggered single-shot phase sensitive inversion recovery myocardial delayed enhancement cardiac magnetic resonance. Magn Reson Imaging. 2025 10; 122:110460.
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Effects of nonstationary system blur on radiomic texture features of trabecular bone in normal and ultra-high resolution CT. Med Phys. 2025 Jul; 52(7):e17943.
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting. Phys Med Biol. 2025 06 16; 70(12).