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The British Journal of Radiology|February 14, 2018
Mammography cancer detection: comparison of single 8MP and pair of 5MP reporting monitorsCecilia J Strudley, Kenneth C Young, Lucy M Warren
The British Journal of Radiology|September 3, 2016
Radiation risk of breast screening in England with digital mammographyLucy M Warren, David R Dance, Kenneth C Young
Radiation Protection Dosimetry|February 5, 2016
VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGESHannie Petersson, Lucy M Warren, Anders Tingberg, et al.
BJR Artificial Intelligence|May 22, 2026
Development and evaluation of artificial intelligence tools to estimate volumetric breast density from processed 2D mammogramsSam Ellis, Sandra Gomes, Mark D Halling-Brown, et al.
PLOS Digital Health|August 12, 2025
Assessing the generalisation of artificial intelligence across mammography manufacturersAlistair J Hickman, Sandra Gomes, Lucy M Warren, et al.
Medical Physics|September 8, 2021
Effect of glandularity on the detection of simulated cancers in planar, tomosynthesis, and synthetic 2D imaging of the breast using a hybrid virtual clinical trialAlistair Mackenzie, Sukhmanjit Kaur, Emma L Thomson, et al.
Radiology. Artificial Intelligence|May 22, 2024
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening CohortSam Ellis, Sandra Gomes, Matthew Trumble, et al.
Physics in Medicine and Biology|July 17, 2014
Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis imagesPremkumar Elangovan, Lucy M Warren, Alistair Mackenzie, et al.
Medical Physics|July 5, 2012
Effect of image quality on calcification detection in digital mammographyLucy M Warren, Alistair Mackenzie, Julie Cooke, et al.
Radiology. Artificial Intelligence|May 3, 2021
OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical DataMark D Halling-Brown, Lucy M Warren, Dominic Ward, et al.
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