APA (7th ed.) Citation

Syed, A., Adam, R., Ren, T., Lu, J., Maldjian, T., & Duong, T. Q. (2023). Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer. PLoS ONE, 18(1), 1. https://doi.org/10.1371/journal.pone.0280320

Chicago Style (17th ed.) Citation

Syed, Aaquib, Richard Adam, Thomas Ren, Jinyu Lu, Takouhie Maldjian, and Tim Q. Duong. "Machine Learning with Textural Analysis of Longitudinal Multiparametric MRI and Molecular Subtypes Accurately Predicts Pathologic Complete Response in Patients with Invasive Breast Cancer." PLoS ONE 18, no. 1 (2023): 1. https://doi.org/10.1371/journal.pone.0280320.

MLA (9th ed.) Citation

Syed, Aaquib, et al. "Machine Learning with Textural Analysis of Longitudinal Multiparametric MRI and Molecular Subtypes Accurately Predicts Pathologic Complete Response in Patients with Invasive Breast Cancer." PLoS ONE, vol. 18, no. 1, 2023, p. 1, https://doi.org/10.1371/journal.pone.0280320.