Signal-To-Noise Ratio
"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
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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
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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
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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 |
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2011 | 0 | 1 | 1 | 2012 | 0 | 1 | 1 | 2013 | 0 | 3 | 3 | 2014 | 1 | 2 | 3 | 2015 | 0 | 5 | 5 | 2016 | 0 | 4 | 4 | 2017 | 0 | 10 | 10 | 2018 | 0 | 6 | 6 | 2019 | 2 | 5 | 7 | 2020 | 0 | 8 | 8 | 2021 | 0 | 2 | 2 | 2022 | 0 | 1 | 1 | 2023 | 0 | 1 | 1 | 2024 | 0 | 2 | 2 | 2025 | 0 | 2 | 2 |
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Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.
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Abdulrazzak O, Ibrahim NI, Jones G, Epperson MV, Onder I, Graves J, Kroger C, Mehta AH, Banakis Hartl RM. Comparing Bilateral and Single-Sided Deaf Cochlear Implant Recipients in a Novel Speech-in-Noise and Localization Task. Otolaryngol Head Neck Surg. 2025 May; 172(5):1725-1734.
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Vollbrecht TM, Goncalves LF, Bardo DME, Hart C, Boeth H, Barker AJ, Friesen RM, Luetkens JA. Factors influencing image quality in fetal cardiovascular magnetic resonance cine imaging using Doppler ultrasound gating: A multicenter study. J Cardiovasc Magn Reson. 2025 Summer; 27(1):101875.
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Sahin S, Garn?s MF, Bennett A, Dwork N, Tang S, Liu X, Vaidya M, Wang ZJ, Larson PEZ. A pharmacokinetic model for hyperpolarized 13C-pyruvate MRI when using metabolite-specific bSSFP sequences. Magn Reson Med. 2024 Oct; 92(4):1698-1713.
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Do HP, Lockard CA, Berkeley D, Tymkiw B, Dulude N, Tashman S, Gold G, Gross J, Kelly E, Ho CP. Improved Resolution and Image Quality of Musculoskeletal Magnetic Resonance Imaging using Deep Learning-based Denoising Reconstruction: A Prospective Clinical Study. Skeletal Radiol. 2024 Dec; 53(12):2585-2596.
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Ahmadian M, Rickert C, Minic A, Wrobel J, Bitler BG, Xing F, Angelo M, Hsieh EWY, Ghosh D, Jordan KR. A platform-independent framework for phenotyping of multiplex tissue imaging data. PLoS Comput Biol. 2023 09; 19(9):e1011432.
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Laukamp KR, Dastmalchian S, Tandon YK, Ciancibello L, Pennig L, Lennartz S, Al-Kindi S, Rajagopalan S, Bera K, Hokamp NG, Gilkeson R, Gupta A. Imaging of the Left Atrial Appendage Before Occluder Device Placement: Evaluation of Virtual Monoenergetic Images in a Single-Bolus Dual-Phase Protocol. J Comput Assist Tomogr. 2022 Sep-Oct 01; 46(5):735-741.
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Kavran AJ, Clauset A. Denoising large-scale biological data using network filters. BMC Bioinformatics. 2021 Mar 25; 22(1):157.
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Antunes F, Zanotelli T, Simpson DM, Felix LB. Multichannel search strategy for improving the detection of auditory steady-state response. Med Biol Eng Comput. 2021 Feb; 59(2):391-399.
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Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S. Noise reduction in CT image using prior knowledge aware iterative denoising. Phys Med Biol. 2020 11 19; 65(22).
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Cai C, Hashemi A, Diwakar M, Haufe S, Sekihara K, Nagarajan SS. Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. Neuroimage. 2021 01 15; 225:117411.
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