1659P AI-based grading approach identifies FNCLCC grade 3 soft tissue sarcomas von Schwen, L.O., Nitsch, J., Bauer, S., Bertram, S., Goetz, M., Hamacher, R., Hardes, J., Homeyer, A., Schacherer, D., Streitbürger, A., Höfener, H., Schildhaus, H-U.

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Ten simple rules for typographically appealing scientific texts von Schwen, L.O

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Ten quick tips for getting the most scientific value out of numerical data von Schwen, L.O, Rueschenbaum, S

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Analysis and algorithmic generation of hepatic vascular systems von Schwen, L.O, Preusser, T

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Focused scores enable reliable discrimination of small differences in steatosis von Homeyer, A, Hammad, S, Schwen, L.O, Dahmen, U, Höfener, H, Gao, Y, Dooley, S, Schenk, A

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Quantification of hepatic vascular and parenchymal regeneration in mice von Xie, C, Schwen, L.O, Wei, W, Schenk, A, Zafarnia, S, Gremse, F, Dahmen, U

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Computational modeling in liver surgery von Christ, B, Dahmen, U, Herrmann, K.-H, König, M, Reichenbach, J.R, Ricken, T, Schleicher, J, Schwen, L.O, Vlaic, S, Waschinsky, N

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Physiologically-based modelling in mice suggests an aggravated loss of clearance capacity after toxic liver damage von Schenk, A, Ghallab, A, Hofmann, U, Hassan, R, Schwarz, M, Schuppert, A, Schwen, L.O, Braeuning, A, Teutonico, D, Hengstler, J.G, Kuepfer, L

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Representative sinusoids for hepatic four-scale pharmacokinetics simulations von Schwen, L.O, Schenk, A, Kreutz, C, Timmer, J, Rodriguez, M.M.B, Kuepfer, L, Preusser, T

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