Article Versions Notes

Ammari S, Sallé de Chou R, Assi T, Touat M, Chouzenoux E, Quillent A, Limkin E, Dercle L, Hadchiti J, Elhaik M, et al. Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics. 2021; 11(7):1263. https://doi.org/10.3390/diagnostics11071263

Ammari, Samy, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Emilie Chouzenoux, Arnaud Quillent, Elaine Limkin, Laurent Dercle, Joya Hadchiti, Mickael Elhaik, and et al. 2021. "Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab" Diagnostics 11, no. 7: 1263. https://doi.org/10.3390/diagnostics11071263

Ammari, S., Sallé de Chou, R., Assi, T., Touat, M., Chouzenoux, E., Quillent, A., Limkin, E., Dercle, L., Hadchiti, J., Elhaik, M., Moalla, S., Khettab, M., Balleyguier, C., Lassau, N., Dumont, S., & Smolenschi, C. (2021). Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics, 11(7), 1263. https://doi.org/10.3390/diagnostics11071263