Santos, Fernando P.; Smagula, Stephen F.; Karim, Helmet; Santini, Tales S.; Aizenstein, Howard J.; Ibrahim, Tamer S.; Maciel, Carlos Dias 
Fonte: Proceedings. Nome do evento: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: EESC
Assuntos: INFERÊNCIA BAYESIANA, RESSONÂNCIA MAGNÉTICA, PROCESSAMENTO DE IMAGENS, ENGENHARIA ELÉTRICA
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ABNT
SANTOS, Fernando P. et al. Dynamic bayesian network modeling of hippocampal subfields connectivity with 7T fMRI: a case study. 2017, Anais.. Lisboa: SciTePress, 2017. Disponível em: https://doi.org/10.5220/0006151601780184. Acesso em: 10 nov. 2024.APA
Santos, F. P., Smagula, S. F., Karim, H., Santini, T. S., Aizenstein, H. J., Ibrahim, T. S., & Maciel, C. D. (2017). Dynamic bayesian network modeling of hippocampal subfields connectivity with 7T fMRI: a case study. In Proceedings. Lisboa: SciTePress. doi:10.5220/0006151601780184NLM
Santos FP, Smagula SF, Karim H, Santini TS, Aizenstein HJ, Ibrahim TS, Maciel CD. Dynamic bayesian network modeling of hippocampal subfields connectivity with 7T fMRI: a case study [Internet]. Proceedings. 2017 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.5220/0006151601780184Vancouver
Santos FP, Smagula SF, Karim H, Santini TS, Aizenstein HJ, Ibrahim TS, Maciel CD. Dynamic bayesian network modeling of hippocampal subfields connectivity with 7T fMRI: a case study [Internet]. Proceedings. 2017 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.5220/0006151601780184
