Ramos, Jonathan S; Watanabe, Carolina Yukari Veludo; Nogueira-Barbosa, Marcello Henrique; Traina, Agma Juci Machado 
Fonte: Proceedings. Nome do evento: Symposium on Applied Computing - SAC. Unidades: FMRP, ICMC
Assuntos: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, COMPREENSÃO VERBAL, RESSONÂNCIA MAGNÉTICA
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ABNT
RAMOS, Jonathan S et al. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3297280.3299728. Acesso em: 15 nov. 2025.APA
Ramos, J. S., Watanabe, C. Y. V., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2019). BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. In Proceedings. New York: ACM. doi:10.1145/3297280.3299728NLM
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1145/3297280.3299728Vancouver
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1145/3297280.3299728
