APA (7th ed.) Citation

Guez, I., Focht, G., Greer, M. C., Cytter-Kuint, R., Pratt, L., Castro, D. A., . . . Freiman, M. (2022). Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn’s disease endoscopic activity. Computer methods and programs in biomedicine, 227, 107207. https://doi.org/10.1016/j.cmpb.2022.107207

Chicago Style (17th ed.) Citation

Guez, Itai, Gili Focht, Mary-Louise C. Greer, Ruth Cytter-Kuint, Li-Tal Pratt, Denise A. Castro, Dan Turner, Anne M. Griffiths, and Moti Freiman. "Development of a Multimodal Machine-learning Fusion Model to Non-invasively Assess Ileal Crohn’s Disease Endoscopic Activity." Computer Methods and Programs in Biomedicine 227 (2022): 107207. https://doi.org/10.1016/j.cmpb.2022.107207.

MLA (9th ed.) Citation

Guez, Itai, et al. "Development of a Multimodal Machine-learning Fusion Model to Non-invasively Assess Ileal Crohn’s Disease Endoscopic Activity." Computer Methods and Programs in Biomedicine, vol. 227, 2022, p. 107207, https://doi.org/10.1016/j.cmpb.2022.107207.