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Filtros : "Financiamento ANR" "IME" Removido: "Proceedings" Limpar

Filtros

USP affiliated authors
- andre, morgan florian thibault (~1)
- cesar junior, roberto marcondes (~1)
- oliveira, hugo neves de (~1)
Date published
- 2025 (~1)
- 2024 (~1)
Subjects
- imagem por ressonância magnética (1)
- probabilidade (1)
- processamento de imagens (1)
- reconhecimento de imagem (1)
- sistemas dinâmicos (1)

Artigo de periodico
A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity (2025)
André, Morgan ; Pouzat, Christophe
Source: Mathematical Neuroscience and Applications. Unidade: IME
Subjects: PROBABILIDADE, SISTEMAS DINÂMICOS, TEORIA ERGÓDICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRÉ, Morgan e POUZAT, Christophe. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity. Mathematical Neuroscience and Applications, v. 4, n. artigo 2, p. 1-31, 2025Tradução . . Disponível em: https://doi.org/10.46298/mna.7668. Acesso em: 05 dez. 2025.
APA
André, M., & Pouzat, C. (2025). A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity. Mathematical Neuroscience and Applications, 4( artigo 2), 1-31. doi:10.46298/mna.7668
NLM
André M, Pouzat C. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity [Internet]. Mathematical Neuroscience and Applications. 2025 ; 4( artigo 2): 1-31.[citado 2025 dez. 05 ] Available from: https://doi.org/10.46298/mna.7668
Vancouver
André M, Pouzat C. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity [Internet]. Mathematical Neuroscience and Applications. 2025 ; 4( artigo 2): 1-31.[citado 2025 dez. 05 ] Available from: https://doi.org/10.46298/mna.7668
Artigo de periodico
Meta-learners for few-shot weakly-supervised medical image segmentation (2024)
Oliveira, Hugo Neves de ; Gama, Pedro Henrique Targino ; Bloch, Isabelle ; César Júnior, Roberto Marcondes
Source: Pattern Recognition. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Hugo Neves de et al. Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, v. 153, n. artigo 110471, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110471. Acesso em: 05 dez. 2025.
APA
Oliveira, H. N. de, Gama, P. H. T., Bloch, I., & César Júnior, R. M. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, 153( artigo 110471), 1-13. doi:10.1016/j.patcog.2024.110471
NLM
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Vancouver
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471

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