MÜTEVELİZADE, G. Et Al. 2025. Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer. Nuclear Medicine Communications , vol.46, no.9 , 835-847.

MÜTEVELİZADE, G., Aydin, N., Duran Can, O., TEKE, O., Suner, A. F., ERDUĞAN, M., ... Sayit, E.(2025). Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer. Nuclear Medicine Communications , vol.46, no.9, 835-847.

MÜTEVELİZADE, GÖZDE Et Al. "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer," Nuclear Medicine Communications , vol.46, no.9, 835-847, 2025

MÜTEVELİZADE, GÖZDE Et Al. "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer." Nuclear Medicine Communications , vol.46, no.9, pp.835-847, 2025

MÜTEVELİZADE, G. Et Al. (2025) . "Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer." Nuclear Medicine Communications , vol.46, no.9, pp.835-847.

@article{article, author={GÖZDE MÜTEVELİZADE Et Al. }, title={Predicting clinical outcomes using 18F-FDG PET/CT-based radiomic features and machine learning algorithms in patients with esophageal cancer}, journal={Nuclear Medicine Communications}, year=2025, pages={835-847} }