APA (7th ed.) Citation

Juarez Casillas, J. E., Nezafat, M., Benitez, C. M., Rzechowski, K., Kane, N., Sjöstrand, K., . . . Nickols, N. G. (2026). Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases. PLoS ONE, 21(6), 1. https://doi.org/10.1371/journal.pone.0349825

Chicago Style (17th ed.) Citation

Juarez Casillas, Jesus E., et al. "Deep Learning Models Built from PSMA PET of the Primary Tumor Can Predict Synchronous and Metachronous Prostate Cancer Metastases." PLoS ONE 21, no. 6 (2026): 1. https://doi.org/10.1371/journal.pone.0349825.

MLA (9th ed.) Citation

Juarez Casillas, Jesus E., et al. "Deep Learning Models Built from PSMA PET of the Primary Tumor Can Predict Synchronous and Metachronous Prostate Cancer Metastases." PLoS ONE, vol. 21, no. 6, 2026, p. 1, https://doi.org/10.1371/journal.pone.0349825.