Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.

MLA

Gaborit, Bénédicte, et al. “Fully Automated Epicardial Adipose Tissue Volume Quantification with Deep Learning and Relationship with CAC Score and Micro/Macrovascular Complications in People Living with Type 2 Diabetes: The Multicenter EPIDIAB Study.” Cardiovascular Diabetology, vol. 23, no. 1, Sept. 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1186/s12933-024-02411-y.

APA

Gaborit, B., Julla, J. B., Fournel, J., Ancel, P., Soghomonian, A., Deprade, C., Lasbleiz, A., Houssays, M., Ghattas, B., Gascon, P., Righini, M., Matonti, F., Venteclef, N., Potier, L., Gautier, J. F., Resseguier, N., Bartoli, A., Mourre, F., Darmon, P., & Jacquier, A. (2024). Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study. Cardiovascular Diabetology, 23(1), 1–10. https://doi.org/10.1186/s12933-024-02411-y

Chicago

Gaborit, Bénédicte, Jean Baptiste Julla, Joris Fournel, Patricia Ancel, Astrid Soghomonian, Camille Deprade, Adèle Lasbleiz, et al. 2024. “Fully Automated Epicardial Adipose Tissue Volume Quantification with Deep Learning and Relationship with CAC Score and Micro/Macrovascular Complications in People Living with Type 2 Diabetes: The Multicenter EPIDIAB Study.” Cardiovascular Diabetology 23 (1): 1–10. doi:10.1186/s12933-024-02411-y.