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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. Among authors: hillengass j. Invest Radiol. 2022 Nov 1;57(11):752-763. doi: 10.1097/RLI.0000000000000891. Epub 2022 May 27. Invest Radiol. 2022. PMID: 35640004
Where is the primary tumour?
Zechmann CM, Giesel FL, Hillengass J, Mehndiratta A, Neben K, Delorme S, Moehler T. Zechmann CM, et al. Among authors: hillengass j. Lancet. 2007 Nov 24;370(9601):1800. doi: 10.1016/S0140-6736(07)61747-4. Lancet. 2007. PMID: 18037083 No abstract available.
Dynamic contrast-enhanced magnetic resonance imaging identifies a subgroup of patients with asymptomatic monoclonal plasma cell disease and pathologic microcirculation.
Hillengass J, Zechmann C, Bäuerle T, Wagner-Gund B, Heiss C, Benner A, Ho A, Neben K, Hose D, Kauczor HU, Goldschmidt H, Delorme S, Moehler T. Hillengass J, et al. Clin Cancer Res. 2009 May 1;15(9):3118-25. doi: 10.1158/1078-0432.CCR-08-2310. Epub 2009 Apr 14. Clin Cancer Res. 2009. PMID: 19366830
203 results