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Results by year

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

Year Number of Results
1947 1
1948 3
1950 2
1955 1
1962 1
1963 1
1964 1
1965 1
1966 2
1967 2
1970 2
1971 3
1972 3
1973 4
1975 1
1976 1
1980 1
1982 1
1983 2
1984 3
1985 1
1986 3
1987 5
1989 5
1990 6
1991 4
1992 7
1993 13
1994 7
1995 10
1996 20
1997 17
1998 19
1999 21
2000 16
2001 24
2002 21
2003 26
2004 35
2005 36
2006 39
2007 51
2008 65
2009 67
2010 79
2011 95
2012 79
2013 82
2014 87
2015 102
2016 99
2017 104
2018 110
2019 98
2020 97
2021 99
2022 106
2023 120
2024 40

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1,690 results

Results by year

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Page 1
Deep Learning: A Primer for Radiologists.
Chartrand G, Cheng PM, Vorontsov E, Drozdzal M, Turcotte S, Pal CJ, Kadoury S, Tang A. Chartrand G, et al. Among authors: kadoury s, tang a. Radiographics. 2017 Nov-Dec;37(7):2113-2131. doi: 10.1148/rg.2017170077. Radiographics. 2017. PMID: 29131760 Review.
Recently, several clinical applications of CNNs have been proposed and studied in radiology for classification, detection, and segmentation tasks. This article reviews the key concepts of deep learning for clinical radiologists, discusses technical requirements, describes …
Recently, several clinical applications of CNNs have been proposed and studied in radiology for classification, detection, and segmen …
CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis.
van der Pol CB, McInnes MDF, Salameh JP, Levis B, Chernyak V, Sirlin CB, Bashir MR, Allen BC, Burke LMB, Choi JY, Choi SH, Forner A, Fraum TJ, Giamperoli A, Jiang H, Joo I, Kang Z, Kierans AS, Kang HJ, Khatri G, Kim JH, Kim MJ, Kim SY, Kim YY, Kwon H, Lee JM, Lewis SC, McGinty KA, Mulazzani L, Park MS, Piscaglia F, Podgórska J, Reiner CS, Ronot M, Rosiak G, Song B, Song JS, Tang A, Terzi E, Wang J, Wang W, Wilson SR, Yokoo T. van der Pol CB, et al. Among authors: tang a. Radiology. 2022 Feb;302(2):326-335. doi: 10.1148/radiol.2021211244. Epub 2021 Nov 16. Radiology. 2022. PMID: 34783596 Free article.
LI-RADS: Looking Back, Looking Forward.
Chernyak V, Fowler KJ, Do RKG, Kamaya A, Kono Y, Tang A, Mitchell DG, Weinreb J, Santillan CS, Sirlin CB. Chernyak V, et al. Among authors: tang a, fowler kj. Radiology. 2023 Apr;307(1):e222801. doi: 10.1148/radiol.222801. Epub 2023 Feb 28. Radiology. 2023. PMID: 36853182 Free PMC article. Review.
LI-RADS: a glimpse into the future.
Sirlin CB, Kielar AZ, Tang A, Bashir MR. Sirlin CB, et al. Among authors: tang a. Abdom Radiol (NY). 2018 Jan;43(1):231-236. doi: 10.1007/s00261-017-1448-1. Abdom Radiol (NY). 2018. PMID: 29318354 Review.
LI-RADS 2017: An update.
Kielar AZ, Chernyak V, Bashir MR, Do RK, Fowler KJ, Mitchell DG, Cerny M, Elsayes KM, Santillan C, Kamaya A, Kono Y, Sirlin CB, Tang A. Kielar AZ, et al. Among authors: tang a, fowler kj. J Magn Reson Imaging. 2018 Jun;47(6):1459-1474. doi: 10.1002/jmri.26027. Epub 2018 Apr 6. J Magn Reson Imaging. 2018. PMID: 29626376 Free PMC article. Review.
A Multicenter Assessment of Interreader Reliability of LI-RADS Version 2018 for MRI and CT.
Hong CW, Chernyak V, Choi JY, Lee S, Potu C, Delgado T, Wolfson T, Gamst A, Birnbaum J, Kampalath R, Lall C, Lee JT, Owen JW, Aguirre DA, Mendiratta-Lala M, Davenport MS, Masch W, Roudenko A, Lewis SC, Kierans AS, Hecht EM, Bashir MR, Brancatelli G, Douek ML, Ohliger MA, Tang A, Cerny M, Fung A, Costa EA, Corwin MT, McGahan JP, Kalb B, Elsayes KM, Surabhi VR, Blair K, Marks RM, Horvat N, Best S, Ash R, Ganesan K, Kagay CR, Kambadakone A, Wang J, Cruite I, Bijan B, Goodwin M, Moura Cunha G, Tamayo-Murillo D, Fowler KJ, Sirlin CB. Hong CW, et al. Among authors: cruite i, tang a, fowler kj. Radiology. 2023 Jun;307(5):e222855. doi: 10.1148/radiol.222855. Radiology. 2023. PMID: 37367445
Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.
Vianna P, Calce SI, Boustros P, Larocque-Rigney C, Patry-Beaudoin L, Luo YH, Aslan E, Marinos J, Alamri TM, Vu KN, Murphy-Lavallée J, Billiard JS, Montagnon E, Li H, Kadoury S, Nguyen BN, Gauthier S, Therien B, Rish I, Belilovsky E, Wolf G, Chassé M, Cloutier G, Tang A. Vianna P, et al. Among authors: cloutier g, kadoury s, tang a. Radiology. 2023 Oct;309(1):e230659. doi: 10.1148/radiol.230659. Radiology. 2023. PMID: 37787678
Three deep learning techniques applied to B-mode US images were used to classify dichotomized steatosis grades. Classification performance of human radiologists and the deep learning model for dichotomized steatosis grades (S0, S1, S2, and S3) was assessed with area under …
Three deep learning techniques applied to B-mode US images were used to classify dichotomized steatosis grades. Classification perfor …
1,690 results