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Kebir S, Schmidt T, Weber M, Lazaridis L, Galldiks N, Langen K-J, Kleinschnitz C, Hattingen E, Herrlinger U, Lohmann P, et al. A Preliminary Study on Machine Learning-Based Evaluation of Static and Dynamic FET-PET for the Detection of Pseudoprogression in Patients with IDH-Wildtype Glioblastoma. Cancers. 2020; 12(11):3080. https://doi.org/10.3390/cancers12113080

Kebir, Sied, Teresa Schmidt, Matthias Weber, Lazaros Lazaridis, Norbert Galldiks, Karl-Josef Langen, Christoph Kleinschnitz, Elke Hattingen, Ulrich Herrlinger, Philipp Lohmann, and et al. 2020. "A Preliminary Study on Machine Learning-Based Evaluation of Static and Dynamic FET-PET for the Detection of Pseudoprogression in Patients with IDH-Wildtype Glioblastoma" Cancers 12, no. 11: 3080. https://doi.org/10.3390/cancers12113080

Kebir, S., Schmidt, T., Weber, M., Lazaridis, L., Galldiks, N., Langen, K.-J., Kleinschnitz, C., Hattingen, E., Herrlinger, U., Lohmann, P., & Glas, M. (2020). A Preliminary Study on Machine Learning-Based Evaluation of Static and Dynamic FET-PET for the Detection of Pseudoprogression in Patients with IDH-Wildtype Glioblastoma. Cancers, 12(11), 3080. https://doi.org/10.3390/cancers12113080