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Journal of Medical Screening|August 12, 2024
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammogramsM Luke Marinovich, William Lotter, Andrew Waddell, et al.Expert Review of Medical Devices|June 22, 2018
Systematic review of agreement between tomosynthesis and pathologic tumor size for newly diagnosed breast cancer and comparison with other imaging testsM Luke Marinovich, Petra Macaskill, Daniela Bernardi, et al.Annals of Surgical Oncology|January 30, 2014
The association of surgical margins and local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy: a meta-analysisNehmat Houssami, Petra Macaskill, M Luke Marinovich, et al.JAMA Surgery|August 29, 2020
Changes in Reoperation After Publication of Consensus Guidelines on Margins for Breast-Conserving Surgery: A Systematic Review and Meta-analysisM Luke Marinovich, Naomi Noguchi, Monica Morrow, et al.Breast (Edinburgh, Scotland)|February 9, 2023
Rates of reoperation after breast conserving cancer surgery in Western Australia before and after publication of the SSO-ASTRO margins guidelineM Luke Marinovich, Christobel M Saunders, Gavin Pereira, et al.Journal of the National Cancer Institute|August 15, 2018
Breast Cancer Screening Using Tomosynthesis or Mammography: A Meta-analysis of Cancer Detection and RecallM Luke Marinovich, Kylie E Hunter, Petra Macaskill, et al.Breast Cancer Research and Treatment|June 9, 2024
Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic reviewAileen Zeng, Nehmat Houssami, Naomi Noguchi, et al.British Journal of Cancer|March 30, 2022
Differential detection by breast density for digital breast tomosynthesis versus digital mammography population screening: a systematic review and meta-analysisTong Li, Nehmat Houssami, Naomi Noguchi, et al.Clinical Breast Cancer|October 18, 2024
Performance of Digital Breast Tomosynthesis Versus Digital Mammography in Women With a Family History of Breast Cancer: A Systematic ReviewTong Li, Jennifer Isautier, Janie M Lee, et al.Breast (Edinburgh, Scotland)|August 7, 2024
Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening servicesStacy M Carter, Diana Popic, M Luke Marinovich, et al.Pageof 28