U. AYDOS Et Al. , "The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer," Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual , vol.47, pp.216, 2020
AYDOS, U. Et Al. 2020. The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer. Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual , 216.
AYDOS, U., ATAY, L. Ö., KURUKAHVECİOĞLU, O., AKDEMİR, Ü. Ö., UYAR GÖÇÜN, F. P., GÜLBAHAR ATEŞ, S., ... ŞEKER, K.(2020). The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer . Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual (pp.216).
AYDOS, UĞURAY Et Al. "The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer," Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual, 2020
AYDOS, UĞURAY Et Al. "The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer." Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual , pp.216, 2020
AYDOS, U. Et Al. (2020) . "The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer." Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual , p.216.
@conferencepaper{conferencepaper, author={UĞURAY AYDOS Et Al. }, title={The Predictive Value of Visual Evaluation and Quantitative Metabolic Parameters for Axillary Lymph Node Metastasis on FDG PET/MRI in Breast Cancer}, congress name={Annual Congress of the European Association of Nuclear Medicine (EANM) 2020, Virtual}, city={}, country={}, year={2020}, pages={216} }