Vollmer, A., Hartmann, S., Vollmer, M., Shavlokhova, V., Brands, R. C., Kübler, A., Wollborn, J., Hassel, F., Couillard-Despres, S., Lang, G. M., & Saravi, B. E. [ca. 2024]. Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma [Cd]. Freiburg: Universität. https://doi.org/10.1038/s41598-024-56172-5

VOLLMER, Andreas, HARTMANN, Stefan, VOLLMER, Michael, SHAVLOKHOVA, Veronika, BRANDS, Roman C., KÜBLER, Alexander, WOLLBORN, Jakob, HASSEL, Frank, COUILLARD-DESPRES, Sebastien, LANG, Gernot Michael und SARAVI, Babak Ebrahimzadeh, 2024. Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma. Freiburg: Universität.

Vollmer, A., S. Hartmann, M. Vollmer, V. Shavlokhova, R. C. Brands, A. Kübler, J. Wollborn, F. Hassel, S. Couillard-Despres, G. M. Lang, und B. E. Saravi. Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma. cd, Universität, 2024, https://doi.org/10.1038/s41598-024-56172-5.

Vollmer, Andreas/Hartmann, Stefan/Vollmer, Michael/Shavlokhova, Veronika/Brands, Roman C./Kübler, Alexander u. a.: Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma, Freiburg 2024.

Vollmer, A., Hartmann, S., Vollmer, M., Shavlokhova, V., Brands, R.C., Kübler, A., Wollborn, J., Hassel, F., Couillard-Despres, S., Lang, G.M. und Saravi, B.E. (2024), Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1038/s41598-024-56172-5.