Ritter, M., Zhang, J., Grabis, E., Zimmer, D. N., Ravi, V. M., Beck, J., Heiland, D. H., & Sahm, F. [ca. 2025]. Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics [Cd]. Freiburg: Universität. https://doi.org/10.1038/s43018-024-00904-z

RITTER, Michael, ZHANG, Junyi, GRABIS, Elena, ZIMMER, David Niklas, RAVI, Vidhya Madapusi, BECK, Jürgen, HEILAND, Dieter Henrik und SAHM, Felix, 2025. Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics. Freiburg: Universität.

Ritter, M., J. Zhang, E. Grabis, D. N. Zimmer, V. M. Ravi, J. Beck, D. H. Heiland, und F. Sahm. Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics. cd, Universität, 2025, https://doi.org/10.1038/s43018-024-00904-z.

Ritter, Michael/Zhang, Junyi/Grabis, Elena/Zimmer, David Niklas/Ravi, Vidhya Madapusi/Beck, Jürgen u. a.: Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics, Freiburg 2025.

Ritter, M., Zhang, J., Grabis, E., Zimmer, D.N., Ravi, V.M., Beck, J., Heiland, D.H. und Sahm, F. (2025), Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1038/s43018-024-00904-z.