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Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.
Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Broeders M, Gennaro G, Clauser P, Helbich TH, Chevalier M, Tan T, Mertelmeier T, Wallis MG, Andersson I, Zackrisson S, Mann RM, Sechopoulos I. Rodriguez-Ruiz A, et al. Among authors: broeders m. J Natl Cancer Inst. 2019 Sep 1;111(9):916-922. doi: 10.1093/jnci/djy222. J Natl Cancer Inst. 2019. PMID: 30834436 Free PMC article.
Detection and interval cancer rates during the transition from screen-film to digital mammography in population-based screening.
Sankatsing VDV, Fracheboud J, de Munck L, Broeders MJM, van Ravesteyn NT, Heijnsdijk EAM, Verbeek ALM, Otten JDM, Pijnappel RM, Siesling S, de Koning HJ; National Evaluation Team for Breast cancer screening, NETB. Sankatsing VDV, et al. Among authors: broeders mjm. BMC Cancer. 2018 Mar 5;18(1):256. doi: 10.1186/s12885-018-4122-2. BMC Cancer. 2018. PMID: 29506487 Free PMC article.
Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program : A retrospective cohort study.
Vreemann S, Dalmis MU, Bult P, Karssemeijer N, Broeders MJM, Gubern-Mérida A, Mann RM. Vreemann S, et al. Among authors: broeders mjm. Eur Radiol. 2019 Sep;29(9):4678-4690. doi: 10.1007/s00330-019-06020-2. Epub 2019 Feb 22. Eur Radiol. 2019. PMID: 30796568 Free PMC article.
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.
Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Teuwen J, Broeders M, Gennaro G, Clauser P, Helbich TH, Chevalier M, Mertelmeier T, Wallis MG, Andersson I, Zackrisson S, Sechopoulos I, Mann RM. Rodriguez-Ruiz A, et al. Among authors: broeders m. Eur Radiol. 2019 Sep;29(9):4825-4832. doi: 10.1007/s00330-019-06186-9. Epub 2019 Apr 16. Eur Radiol. 2019. PMID: 30993432 Free PMC article.
Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: A mixed-method study.
Boita J, Bolejko A, Zackrisson S, Wallis MG, Ikeda DM, Van Ongeval C, van Engen RE, Mackenzie A, Tingberg A, Bosmans H, Pijnappel R, Sechopoulos I, Broeders M. Boita J, et al. Among authors: broeders m. Eur J Radiol. 2021 Jan;134:109464. doi: 10.1016/j.ejrad.2020.109464. Epub 2020 Dec 2. Eur J Radiol. 2021. PMID: 33307458 Free article.
261 results