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Toward robust mammography-based models for breast cancer risk.
Yala A, Mikhael PG, Strand F, Lin G, Smith K, Wan YL, Lamb L, Hughes K, Lehman C, Barzilay R. Yala A, et al. Among authors: hughes k. Sci Transl Med. 2021 Jan 27;13(578):eaba4373. doi: 10.1126/scitranslmed.aba4373. Sci Transl Med. 2021. PMID: 33504648
Evaluation of hereditary risk in a mammography population.
Jones JL, Hughes KS, Kopans DB, Moore RH, Howard-McNatt M, Hughes SS, Lee NY, Roche CA, Siegel N, Gadd MA, Smith BL, Michaelson JS. Jones JL, et al. Clin Breast Cancer. 2005 Apr;6(1):38-44. doi: 10.3816/CBC.2005.n.007. Clin Breast Cancer. 2005. PMID: 15899071
Breast cancer screening in the era of density notification legislation: summary of 2014 Massachusetts experience and suggestion of an evidence-based management algorithm by multi-disciplinary expert panel.
Freer PE, Slanetz PJ, Haas JS, Tung NM, Hughes KS, Armstrong K, Semine AA, Troyan SL, Birdwell RL. Freer PE, et al. Among authors: hughes ks. Breast Cancer Res Treat. 2015 Sep;153(2):455-64. doi: 10.1007/s10549-015-3534-9. Epub 2015 Aug 20. Breast Cancer Res Treat. 2015. PMID: 26290416 Free PMC article. Review.
Using machine learning to parse breast pathology reports.
Yala A, Barzilay R, Salama L, Griffin M, Sollender G, Bardia A, Lehman C, Buckley JM, Coopey SB, Polubriaginof F, Garber JE, Smith BL, Gadd MA, Specht MC, Gudewicz TM, Guidi AJ, Taghian A, Hughes KS. Yala A, et al. Breast Cancer Res Treat. 2017 Jan;161(2):203-211. doi: 10.1007/s10549-016-4035-1. Epub 2016 Nov 8. Breast Cancer Res Treat. 2017. PMID: 27826755
1,903 results