Bourbonne, V.; Lucia, F.; Jaouen, V.; Pradier, O.; Visvikis, D.; Schick, U.
Combination of Radiomics Features and Functional Radiosensitivity Enhances Prediction of Acute Pulmonary Toxicity in a Prospective Validation Cohort of Patients with a Locally Advanced Lung Cancer Treated with VMAT-Radiotherapy. J. Pers. Med. 2022, 12, 1926.
https://doi.org/10.3390/jpm12111926
AMA Style
Bourbonne V, Lucia F, Jaouen V, Pradier O, Visvikis D, Schick U.
Combination of Radiomics Features and Functional Radiosensitivity Enhances Prediction of Acute Pulmonary Toxicity in a Prospective Validation Cohort of Patients with a Locally Advanced Lung Cancer Treated with VMAT-Radiotherapy. Journal of Personalized Medicine. 2022; 12(11):1926.
https://doi.org/10.3390/jpm12111926
Chicago/Turabian Style
Bourbonne, Vincent, François Lucia, Vincent Jaouen, Olivier Pradier, Dimitris Visvikis, and Ulrike Schick.
2022. "Combination of Radiomics Features and Functional Radiosensitivity Enhances Prediction of Acute Pulmonary Toxicity in a Prospective Validation Cohort of Patients with a Locally Advanced Lung Cancer Treated with VMAT-Radiotherapy" Journal of Personalized Medicine 12, no. 11: 1926.
https://doi.org/10.3390/jpm12111926
APA Style
Bourbonne, V., Lucia, F., Jaouen, V., Pradier, O., Visvikis, D., & Schick, U.
(2022). Combination of Radiomics Features and Functional Radiosensitivity Enhances Prediction of Acute Pulmonary Toxicity in a Prospective Validation Cohort of Patients with a Locally Advanced Lung Cancer Treated with VMAT-Radiotherapy. Journal of Personalized Medicine, 12(11), 1926.
https://doi.org/10.3390/jpm12111926
