Frade, M.B.; Critelli, P.; Trifiletti, E.; Ripepi, G.; Pontoriero, A.
Radiomic-Based Machine Learning for Differentiating Brain Metastases Recurrence from Radiation Necrosis Post-Gamma Knife Radiosurgery: A Feasibility Study. Int. J. Transl. Med. 2025, 5, 50.
https://doi.org/10.3390/ijtm5040050
AMA Style
Frade MB, Critelli P, Trifiletti E, Ripepi G, Pontoriero A.
Radiomic-Based Machine Learning for Differentiating Brain Metastases Recurrence from Radiation Necrosis Post-Gamma Knife Radiosurgery: A Feasibility Study. International Journal of Translational Medicine. 2025; 5(4):50.
https://doi.org/10.3390/ijtm5040050
Chicago/Turabian Style
Frade, Mateus Blasques, Paola Critelli, Eleonora Trifiletti, Giuseppe Ripepi, and Antonio Pontoriero.
2025. "Radiomic-Based Machine Learning for Differentiating Brain Metastases Recurrence from Radiation Necrosis Post-Gamma Knife Radiosurgery: A Feasibility Study" International Journal of Translational Medicine 5, no. 4: 50.
https://doi.org/10.3390/ijtm5040050
APA Style
Frade, M. B., Critelli, P., Trifiletti, E., Ripepi, G., & Pontoriero, A.
(2025). Radiomic-Based Machine Learning for Differentiating Brain Metastases Recurrence from Radiation Necrosis Post-Gamma Knife Radiosurgery: A Feasibility Study. International Journal of Translational Medicine, 5(4), 50.
https://doi.org/10.3390/ijtm5040050