APA (7th ed.) Citation

Xia, J., Leng, S., Xu, B., Jin, G., Li, J., Zhang, M., . . . Hua, Q. (2026). Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic‐associated steatotic liver disease and type 2 diabetes mellitus. Journal of Diabetes Investigation, 17(6), 1010. https://doi.org/10.1111/jdi.70315

Chicago Style (17th ed.) Citation

Xia, Jinying, Shaoyi Leng, Bin Xu, Guang Jin, Jianhui Li, Mingchen Zhang, Danzhen Yao, Ruiting Shen, and Qifeng Hua. "Interpretable Machine Learning Models Based on CMR Radiomics for Predicting Left Ventricular Diastolic Dysfunction in Patients with Metabolic‐associated Steatotic Liver Disease and Type 2 Diabetes Mellitus." Journal of Diabetes Investigation 17, no. 6 (2026): 1010. https://doi.org/10.1111/jdi.70315.

MLA (9th ed.) Citation

Xia, Jinying, et al. "Interpretable Machine Learning Models Based on CMR Radiomics for Predicting Left Ventricular Diastolic Dysfunction in Patients with Metabolic‐associated Steatotic Liver Disease and Type 2 Diabetes Mellitus." Journal of Diabetes Investigation, vol. 17, no. 6, 2026, p. 1010, https://doi.org/10.1111/jdi.70315.