Non-invasive prediction of glioma tumor stemness using multimodal MRI (2019)
Source: Cancer Research. Conference titles: Annual Meeting American Association for Cancer Research - AACR. Unidade: FMRP
Subjects: GLIOMA, TUMOR CARCINOIDE, RESSONÂNCIA MAGNÉTICA
ABNT
DAVOODI-BOJD, Esmaeil et al. Non-invasive prediction of glioma tumor stemness using multimodal MRI. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-1939. Acesso em: 02 out. 2024. , 2019APA
Davoodi-Bojd, E., Malta, T., Griffith, B., Snyder, J., Walbert, T., Noushmehr, H., & Soltanian-Zadeh, H. (2019). Non-invasive prediction of glioma tumor stemness using multimodal MRI. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2019-1939NLM
Davoodi-Bojd E, Malta T, Griffith B, Snyder J, Walbert T, Noushmehr H, Soltanian-Zadeh H. Non-invasive prediction of glioma tumor stemness using multimodal MRI [Internet]. Cancer Research. 2019 ; 79( 13): 1939.[citado 2024 out. 02 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1939Vancouver
Davoodi-Bojd E, Malta T, Griffith B, Snyder J, Walbert T, Noushmehr H, Soltanian-Zadeh H. Non-invasive prediction of glioma tumor stemness using multimodal MRI [Internet]. Cancer Research. 2019 ; 79( 13): 1939.[citado 2024 out. 02 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1939