APA (7th ed.) Citation

Muller, F. M., Li, E. J., Daube-Witherspoon, M. E., Pantel, A. R., Wiers, C. E., Dubroff, J. G., . . . Karp, J. S. (2025). Impact of deep learning denoising on kinetic modelling for low-dose dynamic PET: Application to single- and dual-tracer imaging protocols. European Journal of Nuclear Medicine & Molecular Imaging, 52(9), 3465. https://doi.org/10.1007/s00259-025-07182-6

Chicago Style (17th ed.) Citation

Muller, Florence M., Elizabeth J. Li, Margaret E. Daube-Witherspoon, Austin R. Pantel, Corinde E. Wiers, Jacob G. Dubroff, Christian Vanhove, Stefaan Vandenberghe, and Joel S. Karp. "Impact of Deep Learning Denoising on Kinetic Modelling for Low-dose Dynamic PET: Application to Single- and Dual-tracer Imaging Protocols." European Journal of Nuclear Medicine & Molecular Imaging 52, no. 9 (2025): 3465. https://doi.org/10.1007/s00259-025-07182-6.

MLA (9th ed.) Citation

Muller, Florence M., et al. "Impact of Deep Learning Denoising on Kinetic Modelling for Low-dose Dynamic PET: Application to Single- and Dual-tracer Imaging Protocols." European Journal of Nuclear Medicine & Molecular Imaging, vol. 52, no. 9, 2025, p. 3465, https://doi.org/10.1007/s00259-025-07182-6.