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Tayebi Arasteh,\ S.*\ ; Lotfinia,\ M.*\ ; Nolte,\ T.*\ ; Sähn,\ M.J.*\ ; Isfort,\ P.*\ ; Kühl,\ C.*\ ; Nebelung,\ S.*\ ; Kaissis,\ G.\ ; Truhn,\ D.*
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Securing collaborative medical aI by using differential privacy: Domain transfer for classification of chest radiographs.
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Radiol. Artif. Intell. 6, DOI: 10.1148/ryai.230212 (2024)
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Mairhörmann,\ B.\ ; Castelblanco,\ A.\ ; Häfner,\ F.\ ; Koliogiannis,\ V.\ ; Haist,\ L.\ ; Winter,\ D.\ ; Flemmer,\ A.W.\ ; Ehrhardt,\ H.\ ; Stöcklein,\ S.\ ; Dietrich,\ O.\ ; Förster,\ K.\ ; Hilgendorff,\ A.\ ; Schubert,\ B.
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Automated MRI lung segmentation and 3D morphologic features for quantification of neonatal lung disease.
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Radiol. Artif. Intell. 5:e220239 (2023)
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Küstner,\ T.*\ ; Hepp,\ T.*\ ; Fischer,\ M.*\ ; Schwartz,\ M.*\ ; Fritsche,\ A.\ ; Häring,\ H.-U.\ ; Nikolaou,\ K.*\ ; Bamberg,\ F.*\ ; Yang,\ B.*\ ; Schick,\ F.\ ; Gatidis,\ S.*\ ; Machann,\ J.
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Fully automated and standardized segmentation of adipose tissue compartments via deep learning in 3D whole-body MRI of epidemiological cohort studies.
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Radiol. Artif. Intell. 2:e200010 (2021)
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