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Radiologic Clinics of North America|May 22, 2024
Clinical Integration of Artificial Intelligence for Breast ImagingLouise S Wilkinson, J Kevin Dunbar, Gerald LipJournal of Medical Screening|September 4, 2024
Percentage mammographic density or absolute breast density for risk stratification in breast screening: Possible implications for socioeconomic health disparitySue Hudson, Nahid Kamangari, Louise S WilkinsonThe British Journal of Radiology|September 3, 2015
Breast density across a regional screening population: effects of age, ethnicity and deprivationSamantha L Heller, Sue Hudson, Louise S WilkinsonThe British Journal of Radiology|December 13, 2016
The B3 conundrum-the radiologists' perspectiveNisha Sharma, Louise S Wilkinson, Sarah E PinderPlos One|February 26, 2013
Idiopathic orbital inflammation syndrome with retro-orbital involvement: a retrospective study of eight patientsYumei Li, Gerald Lip, Vincent Chong, et al.BJR Artificial Intelligence|May 1, 2026
Adoption, orchestration, and deployment of artificial intelligence within the National Health Service-facilitators and barriers: an expert roundtable discussionGerald Lip, Alex Novak, Mathias Goyen, et al.Cancer Epidemiology|August 20, 2021
Exploring the influence of rural residence on uptake of organized cancer screening - A systematic review of international literatureLauren T Walji, Peter Murchie, Gerald Lip, et al.The British Journal of Radiology|September 26, 2023
Should we share breast density information during breast cancer screening in the United Kingdom? an integrative reviewRebecca Best, Louise S Wilkinson, Clare Oliver-Williams, et al.Sexually Transmitted Infections|June 12, 2016
Chlamydia sequelae cost estimates used in current economic evaluations: does one-size-fit-all?Koh Jun Ong, Kate Soldan, Mark Jit, et al.The British Journal of Radiology|April 22, 2023
To what extent are objectively measured mammographic imaging techniques associated with compression outcomesSue M Hudson, Louise S Wilkinson, Bianca L De Stavola, et al.Pageof 5