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aurelio fernandez[Author]
(6 results)?
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer.
Nat Med. 2023 Feb;29(2):430-439. doi: 10.1038/s41591-022-02134-1. Epub 2023 Jan 9.
Nat Med. 2023.
PMID: 36624314
Senescence-Associated Molecules and Tumor-Immune-Interactions as Prognostic Biomarkers in Colorectal Cancer.
Kellers F, Fernandez A, Konukiewitz B, Schindeldecker M, Tagscherer KE, Heintz A, Jesinghaus M, Roth W, Foersch S.
Kellers F, et al. Among authors: fernandez a.
Front Med (Lausanne). 2022 Apr 12;9:865230. doi: 10.3389/fmed.2022.865230. eCollection 2022.
Front Med (Lausanne). 2022.
PMID: 35492321
Free PMC article.
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Multimodal Deep Learning for Prognosis Prediction in Renal Cancer.
Schulz S, Woerl AC, Jungmann F, Glasner C, Stenzel P, Strobl S, Fernandez A, Wagner DC, Haferkamp A, Mildenberger P, Roth W, Foersch S.
Schulz S, et al. Among authors: fernandez a.
Front Oncol. 2021 Nov 24;11:788740. doi: 10.3389/fonc.2021.788740. eCollection 2021.
Front Oncol. 2021.
PMID: 34900744
Free PMC article.
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Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.
Woerl AC, Eckstein M, Geiger J, Wagner DC, Daher T, Stenzel P, Fernandez A, Hartmann A, Wand M, Roth W, Foersch S.
Woerl AC, et al. Among authors: fernandez a.
Eur Urol. 2020 Aug;78(2):256-264. doi: 10.1016/j.eururo.2020.04.023. Epub 2020 Apr 27.
Eur Urol. 2020.
PMID: 32354610
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Prognostic relevance of androgen receptor expression in renal cell carcinomas.
Foersch S, Schindeldecker M, Keith M, Tagscherer KE, Fernandez A, Stenzel PJ, Pahernik S, Hohenfellner M, Schirmacher P, Roth W, Macher-Goeppinger S.
Foersch S, et al. Among authors: fernandez a.
Oncotarget. 2017 Sep 11;8(45):78545-78555. doi: 10.18632/oncotarget.20827. eCollection 2017 Oct 3.
Oncotarget. 2017.
PMID: 29108248
Free PMC article.
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