Publikationen von Huttner, Michael
(ORCID: 0000-0002-3766-5909)

Lippl, Jonas, Reinke, Sarah , Koch, Karoline, Oschlies, Ilske, Schrod, Stefan, Wolfseher, Lukas, Hüttl, Paul , Huttner, Michael , Beà, Silvia, Campo, Elias, Ladetto, Marco, Cogliatti, Sergio, Ehinger, Mats, Rymkiewicz, Grzegorz, Tabanelli, Valentina, Rauert-Wunderlich, Hilka, Rosenwald, Andreas, Spang, Rainer , Hoster, Eva, Dreyling, Martin, Altenbuchinger, Michael, Klapper, Wolfram, Pott, Christiane, Klener, Pavel, Jerkeman, Mats, Hess, Georg, Cordero, Francesca, Ek, Sara, Ferrero, Simone und Ginè, Eva (2026) Mantle cell lymphoma artificial intelligence prognostic index using hematoxylin and eosin histology. Leukemia.

Simeth, Jakob , Hüttl, Paul , Schön, Marian, Nozari, Zahra, Huttner, Michael , Schmidt, Tobias, Altenbuchinger, Michael und Spang, Rainer (2024) Virtual Tissue Expression Analysis. Bioinformatics, btae709.

Staiger, A. M., Altenbuchinger, Michael, Ziepert, M., Kohler, Christian, Horn, H., Huttner, Michael , Huttl, K. S., Glehr, Gunther , Klapper, W., Szczepanowski, M., Richter, J., Stein, H., Feller, A. C., Moller, P., Hansmann, M. L., Poeschel, V., Held, G., Loeffler, M., Schmitz, N., Trumper, L., Pukrop, T., Rosenwald, A., Ott, G., Spang, Rainer , Emed Demonstrator Project, und German High Grade Non-Hodgkin’s Lymphoma Study Group (DSHNHL), (2019) A novel lymphoma-associated macrophage interaction signature (LAMIS) provides robust risk prognostication in diffuse large B-cell lymphoma clinical trial cohorts of the DSHNHL. Leukemia 34, S. 543-552. Volltext nicht vorhanden.

Huttner, Michael (2024) Infrastructure for digital medicine and AI enhanced pathology. Dissertation, Universität Regensburg.