Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation studyKarin Dembrower, Fredrik Strand, Erik Wåhlin et al.|The Lancet Digital Health|2020Cited by 283
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk PredictionKarin Dembrower, Fredrik Strand, Yue Liu et al.|Radiology|2019Cited by 160
A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks—the Cohort of Screen-Aged Women (CSAW)Karin Dembrower, Fredrik Strand, Peter Lindholm|Journal of Digital Imaging|2019Cited by 89
Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography ExaminationsMattie Salim, Fredrik Strand, Karin Dembrower et al.|Radiology|2020Cited by 39
Implications for downstream workload based on calibrating an artificial intelligence detection algorithm by standalone-reader or combined-reader sensitivity matchingKarin Dembrower, Fredrik Strand, Mattie Salim et al.|Journal of Medical Imaging|2023Cited by 11