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Radiology|October 20, 2020
Artificial Intelligence Applied to Breast MRI for Improved DiagnosisYulei Jiang, Alexandra V Edwards, Gillian M NewsteadAJR. American Journal of Roentgenology|May 25, 2018
Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast TissueYulei Jiang, Marc F Inciardi, Alexandra V Edwards, et al.Radiology|June 18, 2024
Comparison of Mammography and Mammography with Supplemental Whole-Breast US Tomography for Cancer Detection in Patients with Dense BreastsMary W Yamashita, Linda H Larsen, Jeremiah Perez, et al.Cancer Imaging : the Official Publication of the International Cancer Imaging Society|September 20, 2019
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institutionYu Ji, Hui Li, Alexandra V Edwards, et al.AJR. American Journal of Roentgenology|February 24, 2012
Clinically missed cancer: how effectively can radiologists use computer-aided detection?Robert M Nishikawa, Robert A Schmidt, Michael N Linver, et al.Academic Radiology|May 15, 2018
Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI DatasetHeather M Whitney, Nathan S Taylor, Karen Drukker, et al.Pageof 1