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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: helbich th. 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.
Diffusion-weighted MRI of breast lesions: a prospective clinical investigation of the quantitative imaging biomarker characteristics of reproducibility, repeatability, and diagnostic accuracy.
Spick C, Bickel H, Pinker K, Bernathova M, Kapetas P, Woitek R, Clauser P, Polanec SH, Rudas M, Bartsch R, Helbich TH, Baltzer PA. Spick C, et al. Among authors: helbich th. NMR Biomed. 2016 Oct;29(10):1445-53. doi: 10.1002/nbm.3596. Epub 2016 Aug 24. NMR Biomed. 2016. PMID: 27553252
Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions: Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Baltzer PAT, Bickel H, Spick C, Wengert G, Woitek R, Kapetas P, Clauser P, Helbich TH, Pinker K. Baltzer PAT, et al. Among authors: helbich th. Invest Radiol. 2018 Apr;53(4):229-235. doi: 10.1097/RLI.0000000000000433. Invest Radiol. 2018. PMID: 29190227 Free PMC article.
376 results