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Proceedings of Spie--The International Society for Optical Engineering|July 31, 2014
Breast density and parenchymal texture measures as potential risk factors for Estrogen-Receptor positive breast cancerBrad M Keller, Jinbo Chen, Emily F Conant, et al.
AJR. American Journal of Roentgenology|August 25, 2011
Multivariate compensation of quantitative pulmonary emphysema metric variation from low-dose, whole-lung CT scansBrad M Keller, Anthony P Reeves, Claudia I Henschke, et al.
Breast Cancer Research : BCR|August 26, 2015
Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammographyBrad M Keller, Jinbo Chen, Dania Daye, et al.
Academic Radiology|May 30, 2016
Association between Breast Parenchymal Complexity and False-Positive Recall From Digital Mammography Versus Breast Tomosynthesis: Preliminary Investigation in the ACRIN PA 4006 TrialShonket Ray, Lin Chen, Brad M Keller, et al.
Radiology|January 26, 2017
Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated MeasuresEmily F Conant, Brad M Keller, Lauren Pantalone, et al.
Academic Radiology|March 8, 2013
Reader variability in breast density estimation from full-field digital mammograms: the effect of image postprocessing on relative and absolute measuresBrad M Keller, Diane L Nathan, Sara C Gavenonis, et al.
Medical Physics|July 3, 2015
Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessmentYuanjie Zheng, Brad M Keller, Shonket Ray, et al.
Radiology|March 23, 2016
The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006Lin Chen, Shonket Ray, Brad M Keller, et al.
Medical Physics|November 4, 2016
Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representationsAimilia Gastounioti, Andrew Oustimov, Brad M Keller, et al.
BMC Cancer|April 17, 2015
Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammographyBrad M Keller, Anne Marie McCarthy, Jinbo Chen, et al.
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