APA (7th ed.) Citation

McElliott, M. C., Al-Suraimi, A., Telang, A. C., Ference-Salo, J. T., Chowdhury, M., Soofi, A., . . . Beamish, J. A. (2023). High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury. Scientific Reports, 13(1), 1. https://doi.org/10.1038/s41598-023-33433-3

Chicago Style (17th ed.) Citation

McElliott, Madison C., Anas Al-Suraimi, Asha C. Telang, Jenna T. Ference-Salo, Mahboob Chowdhury, Abdul Soofi, Gregory R. Dressler, and Jeffrey A. Beamish. "High-throughput Image Analysis with Deep Learning Captures Heterogeneity and Spatial Relationships After Kidney Injury." Scientific Reports 13, no. 1 (2023): 1. https://doi.org/10.1038/s41598-023-33433-3.

MLA (9th ed.) Citation

McElliott, Madison C., et al. "High-throughput Image Analysis with Deep Learning Captures Heterogeneity and Spatial Relationships After Kidney Injury." Scientific Reports, vol. 13, no. 1, 2023, p. 1, https://doi.org/10.1038/s41598-023-33433-3.