Article Versions Notes

Destito M, Marzullo A, Leone R, Zaffino P, Steffanoni S, Erbella F, Calimeri F, Anzalone N, De Momi E, Ferreri AJM, et al. Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients. Bioengineering. 2023; 10(3):285. https://doi.org/10.3390/bioengineering10030285

Destito, Michela, Aldo Marzullo, Riccardo Leone, Paolo Zaffino, Sara Steffanoni, Federico Erbella, Francesco Calimeri, Nicoletta Anzalone, Elena De Momi, Andrés J. M. Ferreri, and et al. 2023. "Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients" Bioengineering 10, no. 3: 285. https://doi.org/10.3390/bioengineering10030285

Destito, M., Marzullo, A., Leone, R., Zaffino, P., Steffanoni, S., Erbella, F., Calimeri, F., Anzalone, N., De Momi, E., Ferreri, A. J. M., Calimeri, T., & Spadea, M. F. (2023). Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients. Bioengineering, 10(3), 285. https://doi.org/10.3390/bioengineering10030285