APA (7th ed.) Citation

Gabryś, H., Sterzing, F., Hauswald, H., & Bangert, M. (2018). Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia. Frontiers in oncology, 8, . https://doi.org/10.3389/fonc.2018.00035

Chicago Style (17th ed.) Citation

Gabryś, Hubert, Florian Sterzing, Henrik Hauswald, and Mark Bangert. "Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia." Frontiers in Oncology 8 (2018). https://doi.org/10.3389/fonc.2018.00035.

MLA (9th ed.) Citation

Gabryś, Hubert, et al. "Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia." Frontiers in Oncology, vol. 8, 2018, https://doi.org/10.3389/fonc.2018.00035.