Article Versions Notes

Safakish A, Moslemi A, Moore-Palhares D, Sannachi L, Poon I, Karam I, Bayley A, Pejovic-Milic A, Czarnota GJ. Deep Texture Analysis Enhanced MRI Radiomics for Predicting Head and Neck Cancer Treatment Outcomes with Machine Learning Classifiers. Radiation. 2024; 4(2):192-212. https://doi.org/10.3390/radiation4020015

Safakish, Aryan, Amir Moslemi, Daniel Moore-Palhares, Lakshmanan Sannachi, Ian Poon, Irene Karam, Andrew Bayley, Ana Pejovic-Milic, and Gregory J. Czarnota. 2024. "Deep Texture Analysis Enhanced MRI Radiomics for Predicting Head and Neck Cancer Treatment Outcomes with Machine Learning Classifiers" Radiation 4, no. 2: 192-212. https://doi.org/10.3390/radiation4020015

Safakish, A., Moslemi, A., Moore-Palhares, D., Sannachi, L., Poon, I., Karam, I., Bayley, A., Pejovic-Milic, A., & Czarnota, G. J. (2024). Deep Texture Analysis Enhanced MRI Radiomics for Predicting Head and Neck Cancer Treatment Outcomes with Machine Learning Classifiers. Radiation, 4(2), 192-212. https://doi.org/10.3390/radiation4020015