Stadlbauer, A.; Nikolic, K.; Oberndorfer, S.; Marhold, F.; Kinfe, T.M.; Meyer-Bäse, A.; Bistrian, D.A.; Schnell, O.; Doerfler, A.
Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study). Cancers 2024, 16, 1102.
https://doi.org/10.3390/cancers16061102
AMA Style
Stadlbauer A, Nikolic K, Oberndorfer S, Marhold F, Kinfe TM, Meyer-Bäse A, Bistrian DA, Schnell O, Doerfler A.
Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study). Cancers. 2024; 16(6):1102.
https://doi.org/10.3390/cancers16061102
Chicago/Turabian Style
Stadlbauer, Andreas, Katarina Nikolic, Stefan Oberndorfer, Franz Marhold, Thomas M. Kinfe, Anke Meyer-Bäse, Diana Alina Bistrian, Oliver Schnell, and Arnd Doerfler.
2024. "Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study)" Cancers 16, no. 6: 1102.
https://doi.org/10.3390/cancers16061102
APA Style
Stadlbauer, A., Nikolic, K., Oberndorfer, S., Marhold, F., Kinfe, T. M., Meyer-Bäse, A., Bistrian, D. A., Schnell, O., & Doerfler, A.
(2024). Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study). Cancers, 16(6), 1102.
https://doi.org/10.3390/cancers16061102
