Pattern Recognition, Automated
"Pattern Recognition, Automated" 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.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
| Descriptor ID |
D010363
|
| MeSH Number(s) |
L01.399.750
|
| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Pattern Recognition, Automated".
Below are MeSH descriptors whose meaning is more specific than "Pattern Recognition, Automated".
This graph shows the total number of publications written about "Pattern Recognition, Automated" by people in this website by year, and whether "Pattern Recognition, Automated" 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 |
|---|
| 1998 | 1 | 0 | 1 |
| 2000 | 1 | 0 | 1 |
| 2002 | 1 | 2 | 3 |
| 2003 | 1 | 2 | 3 |
| 2004 | 3 | 1 | 4 |
| 2005 | 0 | 1 | 1 |
| 2006 | 4 | 2 | 6 |
| 2007 | 1 | 4 | 5 |
| 2008 | 5 | 0 | 5 |
| 2009 | 1 | 2 | 3 |
| 2010 | 3 | 1 | 4 |
| 2011 | 4 | 2 | 6 |
| 2012 | 4 | 2 | 6 |
| 2013 | 1 | 0 | 1 |
| 2014 | 1 | 1 | 2 |
| 2015 | 1 | 0 | 1 |
| 2016 | 2 | 0 | 2 |
| 2018 | 1 | 0 | 1 |
| 2019 | 0 | 1 | 1 |
| 2020 | 1 | 1 | 2 |
| 2022 | 1 | 0 | 1 |
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Below are the most recent publications written about "Pattern Recognition, Automated" by people in Profiles.
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Gavali S, Ross K, Chen C, Cowart J, Wu CH. A knowledge graph representation learning approach to predict novel kinase-substrate interactions. Mol Omics. 2022 10 31; 18(9):853-864.
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Bouteldja N, Klinkhammer BM, B?low RD, Droste P, Otten SW, Freifrau von Stillfried S, Moellmann J, Sheehan SM, Korstanje R, Menzel S, Bankhead P, Mietsch M, Drummer C, Lehrke M, Kramann R, Floege J, Boor P, Merhof D. Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology. J Am Soc Nephrol. 2021 01; 32(1):52-68.
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Ratnagiri MV, Ryan L, Strang A, Heinle R, Rahman T, Shaffer TH. Machine learning for automatic identification of thoracoabdominal asynchrony in children. Pediatr Res. 2021 04; 89(5):1232-1238.
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Chitalia RD, Rowland J, McDonald ES, Pantalone L, Cohen EA, Gastounioti A, Feldman M, Schnall M, Conant E, Kontos D. Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence. Clin Cancer Res. 2020 02 15; 26(4):862-869.
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Lee AJ, Chang I, Burel JG, Lindestam Arlehamn CS, Mandava A, Weiskopf D, Peters B, Sette A, Scheuermann RH, Qian Y. DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data. Cytometry A. 2018 06; 93(6):597-610.
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Jiang Y, Ma D, Bhat H, Ye H, Cauley SF, Wald LL, Setsompop K, Griswold MA. Use of pattern recognition for unaliasing simultaneously acquired slices in simultaneous multislice MR fingerprinting. Magn Reson Med. 2017 11; 78(5):1870-1876.
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Renvall V, Witzel T, Wald LL, Polimeni JR. Automatic cortical surface reconstruction of high-resolution T1 echo planar imaging data. Neuroimage. 2016 07 01; 134:338-354.
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Davids M, Schad LR, Wald LL, Gu?rin B. Fast three-dimensional inner volume excitations using parallel transmission and optimized k-space trajectories. Magn Reson Med. 2016 10; 76(4):1170-82.
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Cauley SF, Setsompop K, Ma D, Jiang Y, Ye H, Adalsteinsson E, Griswold MA, Wald LL. Fast group matching for MR fingerprinting reconstruction. Magn Reson Med. 2015 Aug; 74(2):523-8.
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Ahmed FZ, James J, Tout D, Arumugam P, Mamas M, Zaidi AM. Metal artefact reduction algorithms prevent false positive results when assessing patients for cardiac implantable electronic device infection. J Nucl Cardiol. 2015 Feb; 22(1):219-20.