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Medical Physics|July 5, 2012
Proof of concept for low-dose molecular breast imaging with a dual-head CZT gamma camera. Part II. Evaluation in patientsCarrie B Hruska, Amanda L Weinmann, Christina M Tello Skjerseth, et al.
Investigative Radiology|May 1, 1976
An automated fluorescent excitation analysis system for medical applicationsL Kaufman, F Deconinck, D C Price, et al.
Radiology|October 31, 2018
Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk AssessmentDespina Kontos, Stacey J Winham, Andrew Oustimov, et al.
Breast Cancer Research : BCR|April 27, 2016
Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control studyCarrie B Hruska, Christopher G Scott, Amy Lynn Conners, et al.
Radiology. Imaging Cancer|July 21, 2023
A Review of Theranostics: Perspectives on Emerging Approaches and Clinical AdvancementsBrian J Burkett, David J Bartlett, Patrick W McGarrah, et al.
Breast Cancer Research : BCR|December 16, 2025
Histologic correlates of background parenchymal uptake on molecular breast imagingLydia Bardwell Speltz, Karthik Ghosh, Daniel W Visscher, et al.
Radiology|May 13, 2020
Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk PredictionAimilia Gastounioti, Christine Damases Kasi, Christopher G Scott, et al.
AJR. American Journal of Roentgenology|June 23, 2021
Mammographic Variation Measures, Breast Density, and Breast Cancer RiskJohn Heine, Erin Fowler, Christopher G Scott, et al.
Breast Cancer Research : BCR|June 7, 2018
Quantitative background parenchymal uptake on molecular breast imaging and breast cancer risk: a case-control studyCarrie B Hruska, Jennifer R Geske, Tiffinee N Swanson, et al.
Radiology|December 24, 2015
Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental ScreeningKathleen R Brandt, Christopher G Scott, Lin Ma, et al.
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