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The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer.
Mühlberg A, Holch JW, Heinemann V, Huber T, Moltz J, Maurus S, Jäger N, Liu L, Froelich MF, Katzmann A, Gresser E, Taubmann O, Sühling M, Nörenberg D. Mühlberg A, et al. Among authors: suhling m. Eur Radiol. 2021 Feb;31(2):834-846. doi: 10.1007/s00330-020-07192-y. Epub 2020 Aug 27. Eur Radiol. 2021. PMID: 32851450
Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer.
Gebauer L, Moltz JH, Mühlberg A, Holch JW, Huber T, Enke J, Jäger N, Haas M, Kruger S, Boeck S, Sühling M, Katzmann A, Hahn H, Kunz WG, Heinemann V, Nörenberg D, Maurus S. Gebauer L, et al. Among authors: suhling m. Cancers (Basel). 2021 Nov 16;13(22):5732. doi: 10.3390/cancers13225732. Cancers (Basel). 2021. PMID: 34830885 Free PMC article.
Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT.
Homayounieh F, Saini S, Mostafavi L, Doda Khera R, Sühling M, Schmidt B, Singh R, Flohr T, Kalra MK. Homayounieh F, et al. Among authors: suhling m. Int J Comput Assist Radiol Surg. 2020 Oct;15(10):1727-1736. doi: 10.1007/s11548-020-02212-0. Epub 2020 Jun 26. Int J Comput Assist Radiol Surg. 2020. PMID: 32592069
Automatic contrast phase estimation in CT volumes.
Sofka M, Wu D, Sühling M, Liu D, Tietjen C, Soza G, Zhou SK. Sofka M, et al. Among authors: suhling m. Med Image Comput Comput Assist Interv. 2011;14(Pt 3):166-74. doi: 10.1007/978-3-642-23626-6_21. Med Image Comput Comput Assist Interv. 2011. PMID: 22003696
31 results