APA (7th ed.) Citation

Jiang, J., Li, C., Lu, J., Sun, J., Sun, X., Yang, J., . . . Shi, K. (2025). Using interpretable deep learning radiomics model to diagnose and predict progression of early AD disease spectrum: A preliminary [18F]FDG PET study. European radiology, 35(5), 2620-2633. https://doi.org/10.1007/s00330-024-11158-9

Chicago Style (17th ed.) Citation

Jiang, Jiehui, Chenyang Li, Jiaying Lu, Jie Sun, Xiaoming Sun, Jiacheng Yang, Luyao Wang, Chuantao Zuo, and Kuangyu Shi. "Using Interpretable Deep Learning Radiomics Model to Diagnose and Predict Progression of Early AD Disease Spectrum: A Preliminary [18F]FDG PET Study." European Radiology 35, no. 5 (2025): 2620-2633. https://doi.org/10.1007/s00330-024-11158-9.

MLA (9th ed.) Citation

Jiang, Jiehui, et al. "Using Interpretable Deep Learning Radiomics Model to Diagnose and Predict Progression of Early AD Disease Spectrum: A Preliminary [18F]FDG PET Study." European Radiology, vol. 35, no. 5, 2025, pp. 2620-2633, https://doi.org/10.1007/s00330-024-11158-9.