Model-less multi-input analysis of pulmonary blood flow using deep learning convolution (2024)
Source: IFAC journal of systems and control. Unidade: EP
Subjects: DIAGNÓSTICO POR IMAGEM, FLUXO SANGUÍNEO REGIONAL, PULMÃO, APRENDIZAGEM PROFUNDA
ABNT
SAKA, Tomoki e IWASAWA, Tae e TSUZUKI, Marcos Sales Guerra. Model-less multi-input analysis of pulmonary blood flow using deep learning convolution. IFAC journal of systems and control, v. 29, p. Se 2024, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ifacsc.2024.100276. Acesso em: 10 out. 2025.APA
Saka, T., Iwasawa, T., & Tsuzuki, M. S. G. (2024). Model-less multi-input analysis of pulmonary blood flow using deep learning convolution. IFAC journal of systems and control, 29, Se 2024. doi:10.1016/j.ifacsc.2024.100276NLM
Saka T, Iwasawa T, Tsuzuki MSG. Model-less multi-input analysis of pulmonary blood flow using deep learning convolution [Internet]. IFAC journal of systems and control. 2024 ; 29 Se 2024.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.ifacsc.2024.100276Vancouver
Saka T, Iwasawa T, Tsuzuki MSG. Model-less multi-input analysis of pulmonary blood flow using deep learning convolution [Internet]. IFAC journal of systems and control. 2024 ; 29 Se 2024.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.ifacsc.2024.100276