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Dorent,\ R.*\ ; Khajavi,\ R.*\ ; Idris,\ T.*\ ; Ziegler,\ E.*\ ; Somarouthu,\ B.*\ ; Jacene,\ H.A.*\ ; LaCasce,\ A.S.*\ ; Deissler,\ J.*\ ; Ehrhardt,\ J.*\ ; Engelson,\ S.*\ ; Fischer,\ S.M.\ ; Gu,\ Y.*\ ; Handels,\ H.*\ ; Kasai,\ S.*\ ; Kondo,\ S.*\ ; Maier‐Hein,\ K.*\ ; Schnabel,\ J.A.\ ; Wang,\ G.*\ ; Wang,\ L.*\ ; Wald,\ T.*\ ; Yang,\ G.*\ ; Zhang,\ H.*\ ; Zhang,\ M.*\ ; Pieper,\ S.*\ ; Harris,\ G.J.*\ ; Kikinis,\ R.*\ ; Kapur,\ T.*
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LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
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MELBA 3, 1 - 15 (2025)
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Soberanis-Mukul,\ R.D.*\ ; Navab,\ N.*\ ; Albarqouni,\ S.
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An uncertainty-driven GCN refinement strategy for organ segmentation.
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MELBA 1, Special Issue: Medical Imaging with Deep Learning (MIDL), 1-27 (2020)
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