APA (7th ed.) Citation

Dyrba, M., Barkhof, F., Fellgiebel, A., Filippi, M., Hausner, L., Hauenstein, K., . . . Teipel, S. J. (2015). Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data. Journal of neuroimaging, 25(5), 738. https://doi.org/10.1111/jon.12214

Chicago Style (17th ed.) Citation

Dyrba, Martin, Frederik Barkhof, Andreas Fellgiebel, Massimo Filippi, Lucrezia Hausner, Karlheinz Hauenstein, Thomas Kirste, and Stefan J. Teipel. "Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data." Journal of Neuroimaging 25, no. 5 (2015): 738. https://doi.org/10.1111/jon.12214.

MLA (9th ed.) Citation

Dyrba, Martin, et al. "Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data." Journal of Neuroimaging, vol. 25, no. 5, 2015, p. 738, https://doi.org/10.1111/jon.12214.