Article Versions Notes

Bartoli A, Fournel J, Ait-Yahia L, Cadour F, Tradi F, Ghattas B, Cortaredona S, Million M, Lasbleiz A, Dutour A, et al. Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19. Cells. 2022; 11(6):1034. https://doi.org/10.3390/cells11061034

Bartoli, Axel, Joris Fournel, Léa Ait-Yahia, Farah Cadour, Farouk Tradi, Badih Ghattas, Sébastien Cortaredona, Matthieu Million, Adèle Lasbleiz, Anne Dutour, and et al. 2022. "Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19" Cells 11, no. 6: 1034. https://doi.org/10.3390/cells11061034

Bartoli, A., Fournel, J., Ait-Yahia, L., Cadour, F., Tradi, F., Ghattas, B., Cortaredona, S., Million, M., Lasbleiz, A., Dutour, A., Gaborit, B., & Jacquier, A. (2022). Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19. Cells, 11(6), 1034. https://doi.org/10.3390/cells11061034