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Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study.
Wennmann M, Klein A, Bauer F, Chmelik J, Grözinger M, Uhlenbrock C, Lochner J, Nonnenmacher T, Rotkopf LT, Sauer S, Hielscher T, Götz M, Floca RO, Neher P, Bonekamp D, Hillengass J, Kleesiek J, Weinhold N, Weber TF, Goldschmidt H, Delorme S, Maier-Hein K, Schlemmer HP. Wennmann M, et al. Invest Radiol. 2022 Nov 1;57(11):752-763. doi: 10.1097/RLI.0000000000000891. Epub 2022 May 27. Invest Radiol. 2022. PMID: 35640004
Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.
Bickelhaupt S, Tesdorff J, Laun FB, Kuder TA, Lederer W, Teiner S, Maier-Hein K, Daniel H, Stieber A, Delorme S, Schlemmer HP. Bickelhaupt S, et al. Eur Radiol. 2017 Feb;27(2):562-569. doi: 10.1007/s00330-016-4400-9. Epub 2016 May 18. Eur Radiol. 2017. PMID: 27193776
158 results