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Page 1
DNA methylation-based classification of sinonasal tumors.
Jurmeister P, Glöß S, Roller R, Leitheiser M, Schmid S, Mochmann LH, Payá Capilla E, Fritz R, Dittmayer C, Friedrich C, Thieme A, Keyl P, Jarosch A, Schallenberg S, Bläker H, Hoffmann I, Vollbrecht C, Lehmann A, Hummel M, Heim D, Haji M, Harter P, Englert B, Frank S, Hench J, Paulus W, Hasselblatt M, Hartmann W, Dohmen H, Keber U, Jank P, Denkert C, Stadelmann C, Bremmer F, Richter A, Wefers A, Ribbat-Idel J, Perner S, Idel C, Chiariotti L, Della Monica R, Marinelli A, Schüller U, Bockmayr M, Liu J, Lund VJ, Forster M, Lechner M, Lorenzo-Guerra SL, Hermsen M, Johann PD, Agaimy A, Seegerer P, Koch A, Heppner F, Pfister SM, Jones DTW, Sill M, von Deimling A, Snuderl M, Müller KR, Forgó E, Howitt BE, Mertins P, Klauschen F, Capper D. Jurmeister P, et al. Among authors: seegerer p. Nat Commun. 2022 Nov 28;13(1):7148. doi: 10.1038/s41467-022-34815-3. Nat Commun. 2022. PMID: 36443295 Free PMC article.
Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases.
Jurmeister P, Bockmayr M, Seegerer P, Bockmayr T, Treue D, Montavon G, Vollbrecht C, Arnold A, Teichmann D, Bressem K, Schüller U, von Laffert M, Müller KR, Capper D, Klauschen F. Jurmeister P, et al. Among authors: seegerer p. Sci Transl Med. 2019 Sep 11;11(509):eaaw8513. doi: 10.1126/scitranslmed.aaw8513. Sci Transl Med. 2019. PMID: 31511427
Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning.
Klauschen F, Müller KR, Binder A, Bockmayr M, Hägele M, Seegerer P, Wienert S, Pruneri G, de Maria S, Badve S, Michiels S, Nielsen TO, Adams S, Savas P, Symmans F, Willis S, Gruosso T, Park M, Haibe-Kains B, Gallas B, Thompson AM, Cree I, Sotiriou C, Solinas C, Preusser M, Hewitt SM, Rimm D, Viale G, Loi S, Loibl S, Salgado R, Denkert C; International Immuno-Oncology Biomarker Working Group. Klauschen F, et al. Among authors: seegerer p. Semin Cancer Biol. 2018 Oct;52(Pt 2):151-157. doi: 10.1016/j.semcancer.2018.07.001. Epub 2018 Jul 7. Semin Cancer Biol. 2018. PMID: 29990622 Free article. Review.
Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights.
Schweizer L, Seegerer P, Kim HY, Saitenmacher R, Muench A, Barnick L, Osterloh A, Dittmayer C, Jödicke R, Pehl D, Reinhardt A, Ruprecht K, Stenzel W, Wefers AK, Harter PN, Schüller U, Heppner FL, Alber M, Müller KR, Klauschen F. Schweizer L, et al. Among authors: seegerer p. Neuropathol Appl Neurobiol. 2023 Feb;49(1):e12866. doi: 10.1111/nan.12866. Neuropathol Appl Neurobiol. 2023. PMID: 36519297
Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart.
Kayvanpour E, Mansi T, Sedaghat-Hamedani F, Amr A, Neumann D, Georgescu B, Seegerer P, Kamen A, Haas J, Frese KS, Irawati M, Wirsz E, King V, Buss S, Mereles D, Zitron E, Keller A, Katus HA, Comaniciu D, Meder B. Kayvanpour E, et al. Among authors: seegerer p. PLoS One. 2015 Jul 31;10(7):e0134869. doi: 10.1371/journal.pone.0134869. eCollection 2015. PLoS One. 2015. PMID: 26230546 Free PMC article.
Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals.
Zettinig O, Mansi T, Neumann D, Georgescu B, Rapaka S, Seegerer P, Kayvanpour E, Sedaghat-Hamedani F, Amr A, Haas J, Steen H, Katus H, Meder B, Navab N, Kamen A, Comaniciu D. Zettinig O, et al. Among authors: seegerer p. Med Image Anal. 2014 Dec;18(8):1361-76. doi: 10.1016/j.media.2014.04.011. Epub 2014 Apr 26. Med Image Anal. 2014. PMID: 24857832