Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority studyKarin Dembrower, Fredrik Strand, Alessio Crippa et al.|The Lancet Digital Health|2023Cited by 316
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening MammogramsMattie Salim, Fredrik Strand, Erik Wåhlin et al.|JAMA Oncology|2020Cited by 284
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