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

Year Number of Results
1929 1
1932 1
1943 3
1945 1
1948 2
1949 2
1950 4
1951 3
1952 9
1953 8
1954 1
1955 2
1956 6
1957 5
1958 3
1959 2
1960 3
1961 2
1962 3
1963 4
1964 1
1965 3
1966 1
1967 1
1968 1
1969 1
1971 1
1972 1
1973 1
1978 1
1979 1
1980 2
1981 1
1982 6
1983 5
1984 12
1985 5
1986 7
1987 4
1988 2
1989 1
1990 1
1991 1
1992 1
1995 1
1996 1
1997 2
1998 1
2000 2
2001 2
2002 3
2003 1
2004 1
2006 1
2007 3
2008 1
2009 1
2010 3
2011 7
2012 4
2015 2
2016 2
2017 1
2018 4
2019 12
2020 5
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Article type
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179 results
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Page 1
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR. Gulshan V, et al. Among authors: Webster DR. JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216. JAMA. 2016. PMID: 27898976
Deep learning in ophthalmology: The technical and clinical considerations.
Ting DSW, Peng L, Varadarajan AV, Keane PA, Burlina PM, Chiang MF, Schmetterer L, Pasquale LR, Bressler NM, Webster DR, Abramoff M, Wong TY. Ting DSW, et al. Among authors: Webster DR. Prog Retin Eye Res. 2019 Sep;72:100759. doi: 10.1016/j.preteyeres.2019.04.003. Epub 2019 Apr 29. Prog Retin Eye Res. 2019. PMID: 31048019 Review.
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.
Sayres R, Taly A, Rahimy E, Blumer K, Coz D, Hammel N, Krause J, Narayanaswamy A, Rastegar Z, Wu D, Xu S, Barb S, Joseph A, Shumski M, Smith J, Sood AB, Corrado GS, Peng L, Webster DR. Sayres R, et al. Among authors: Webster DR. Ophthalmology. 2019 Apr;126(4):552-564. doi: 10.1016/j.ophtha.2018.11.016. Epub 2018 Dec 13. Ophthalmology. 2019. PMID: 30553900 Free article.
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Varadarajan AV, Poplin R, Blumer K, Angermueller C, Ledsam J, Chopra R, Keane PA, Corrado GS, Peng L, Webster DR. Varadarajan AV, et al. Among authors: Webster DR. Invest Ophthalmol Vis Sci. 2018 Jun 1;59(7):2861-2868. doi: 10.1167/iovs.18-23887. Invest Ophthalmol Vis Sci. 2018. PMID: 30025129
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India.
Gulshan V, Rajan RP, Widner K, Wu D, Wubbels P, Rhodes T, Whitehouse K, Coram M, Corrado G, Ramasamy K, Raman R, Peng L, Webster DR. Gulshan V, et al. Among authors: Webster DR. JAMA Ophthalmol. 2019 Jun 13;137(9):987-93. doi: 10.1001/jamaophthalmol.2019.2004. Online ahead of print. JAMA Ophthalmol. 2019. PMID: 31194246 Free PMC article.
Direct detection of DNA methylation during single-molecule, real-time sequencing.
Flusberg BA, Webster DR, Lee JH, Travers KJ, Olivares EC, Clark TA, Korlach J, Turner SW. Flusberg BA, et al. Among authors: Webster DR. Nat Methods. 2010 Jun;7(6):461-5. doi: 10.1038/nmeth.1459. Epub 2010 May 9. Nat Methods. 2010. PMID: 20453866 Free PMC article.
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
Raumviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, Tan J, Orprayoon S, Kangwanwongpaisan C, Sukumalpaiboon R, Luengchaichawang C, Fuangkaew J, Kongsap P, Chualinpha L, Saree S, Kawinpanitan S, Mitvongsa K, Lawanasakol S, Thepchatri C, Wongpichedchai L, Corrado GS, Peng L, Webster DR. Raumviboonsuk P, et al. Among authors: Webster DR. NPJ Digit Med. 2019 Apr 10;2:25. doi: 10.1038/s41746-019-0099-8. eCollection 2019. NPJ Digit Med. 2019. PMID: 31304372 Free PMC article.
Underwater flight by the planktonic sea butterfly.
Murphy DW, Adhikari D, Webster DR, Yen J. Murphy DW, et al. Among authors: Webster DR. J Exp Biol. 2016 Feb;219(Pt 4):535-43. doi: 10.1242/jeb.129205. J Exp Biol. 2016. PMID: 26889002 Free article.
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