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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1964 1
1980 1
1982 1
1983 2
1987 1
1988 2
1990 1
1993 1
1995 2
1996 4
1997 1
1999 2
2000 1
2001 3
2004 2
2005 2
2007 6
2008 3
2009 3
2010 1
2011 2
2012 4
2013 5
2014 6
2015 9
2016 7
2017 14
2018 8
2019 10
2020 14
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Similar Articles for PMID: 32816765

101 results
Results by year
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Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study.
Quon JL, Bala W, Chen LC, Wright J, Kim LH, Han M, Shpanskaya K, Lee EH, Tong E, Iv M, Seekins J, Lungren MP, Braun KRM, Poussaint TY, Laughlin S, Taylor MD, Lober RM, Vogel H, Fisher PG, Grant GA, Ramaswamy V, Vitanza NA, Ho CY, Edwards MSB, Cheshier SH, Yeom KW. Quon JL, et al. AJNR Am J Neuroradiol. 2020 Sep;41(9):1718-1725. doi: 10.3174/ajnr.A6704. Epub 2020 Aug 13. AJNR Am J Neuroradiol. 2020. PMID: 32816765
Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.
Zhou H, Hu R, Tang O, Hu C, Tang L, Chang K, Shen Q, Wu J, Zou B, Xiao B, Boxerman J, Chen W, Huang RY, Yang L, Bai HX, Zhu C. Zhou H, et al. AJNR Am J Neuroradiol. 2020 Jul;41(7):1279-1285. doi: 10.3174/ajnr.A6621. AJNR Am J Neuroradiol. 2020. PMID: 32661052
Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.
Rodriguez Gutierrez D, Awwad A, Meijer L, Manita M, Jaspan T, Dineen RA, Grundy RG, Auer DP. Rodriguez Gutierrez D, et al. AJNR Am J Neuroradiol. 2014 May;35(5):1009-15. doi: 10.3174/ajnr.A3784. Epub 2013 Dec 5. AJNR Am J Neuroradiol. 2014. PMID: 24309122 Free article.
Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings.
Payabvash S, Aboian M, Tihan T, Cha S. Payabvash S, et al. Front Oncol. 2020 Feb 7;10:71. doi: 10.3389/fonc.2020.00071. eCollection 2020. Front Oncol. 2020. PMID: 32117728 Free PMC article.
[Classification of the types of pediatric posterior fossa brain tumors based on routine MRI using wavelet transformation analysis of whole tumor].
Wang SJ, Zhang W, He JP, Sun WH, Zhang R, Zhu MJ, Feng ZZ, Yang M, Sun Y. Wang SJ, et al. Zhonghua Yi Xue Za Zhi. 2020 Jan 21;100(3):178-181. doi: 10.3760/cma.j.issn.0376-2491.2020.03.004. Zhonghua Yi Xue Za Zhi. 2020. PMID: 32008282 Chinese.
Posterior Fossa Tumors.
Brandão LA, Young Poussaint T. Brandão LA, et al. Neuroimaging Clin N Am. 2017 Feb;27(1):1-37. doi: 10.1016/j.nic.2016.08.001. Neuroimaging Clin N Am. 2017. PMID: 27889018 Review.
Multiparametric differentiation of posterior fossa tumors in children using diffusion-weighted imaging and short echo-time 1H-MR spectroscopy.
Schneider JF, Confort-Gouny S, Viola A, Le Fur Y, Viout P, Bennathan M, Chapon F, Figarella-Branger D, Cozzone P, Girard N. Schneider JF, et al. J Magn Reson Imaging. 2007 Dec;26(6):1390-8. doi: 10.1002/jmri.21185. J Magn Reson Imaging. 2007. PMID: 17968955
Posterior fossa tumors in children: Radiological tips & tricks in the age of genomic tumor classification and advance MR technology.
Kerleroux B, Cottier JP, Janot K, Listrat A, Sirinelli D, Morel B. Kerleroux B, et al. J Neuroradiol. 2020 Feb;47(1):46-53. doi: 10.1016/j.neurad.2019.08.002. Epub 2019 Sep 18. J Neuroradiol. 2020. PMID: 31541639 Review.
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