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Artigo de periodico
An iterative spanning forest framework for superpixel segmentation (2019)
Muñoz, John Edgar Vargas ; Chowdhury, Ananda Shankar ; Alexandre, Eduardo Barreto; Galvao, Felipe L; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUÑOZ, John Edgar Vargas et al. An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, 2019Tradução . . Disponível em: https://doi.org/10.1109/tip.2019.2897941. Acesso em: 15 dez. 2025.
APA
Muñoz, J. E. V., Chowdhury, A. S., Alexandre, E. B., Galvao, F. L., Miranda, P. A. V. de, & Falcão, A. X. (2019). An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, 28( 7), 3477-3489. doi:10.1109/tip.2019.2897941
NLM
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Vancouver
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Artigo de periodico
Vessel optimal transport for automated alignment of retinal fundus images (2019)
Motta, Danilo Andrade ; Casaca, Wallace Correa de Oliveira ; Paiva, Afonso
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, FUNDO DE OLHO, OTIMIZAÇÃO RESTRITA, GRÁFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Danilo Andrade e CASACA, Wallace Correa de Oliveira e PAIVA, Afonso. Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, v. 28, n. 12, p. 6154-6168, 2019Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2925287. Acesso em: 15 dez. 2025.
APA
Motta, D. A., Casaca, W. C. de O., & Paiva, A. (2019). Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, 28( 12), 6154-6168. doi:10.1109/TIP.2019.2925287
NLM
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Vancouver
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Artigo de periodico
A backprojection slice theorem for tomographic reconstruction (2018)
Miqueles, Eduardo; Koshev, Nikolay; Helou, Elias Salomão
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA, TOMOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIQUELES, Eduardo e KOSHEV, Nikolay e HELOU, Elias Salomão. A backprojection slice theorem for tomographic reconstruction. IEEE Transactions on Image Processing, v. Fe 2018, n. 2, p. 894-906, 2018Tradução . . Disponível em: https://doi.org/10.1109/TIP.2017.2766785. Acesso em: 15 dez. 2025.
APA
Miqueles, E., Koshev, N., & Helou, E. S. (2018). A backprojection slice theorem for tomographic reconstruction. IEEE Transactions on Image Processing, Fe 2018( 2), 894-906. doi:10.1109/TIP.2017.2766785
NLM
Miqueles E, Koshev N, Helou ES. A backprojection slice theorem for tomographic reconstruction [Internet]. IEEE Transactions on Image Processing. 2018 ; Fe 2018( 2): 894-906.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2017.2766785
Vancouver
Miqueles E, Koshev N, Helou ES. A backprojection slice theorem for tomographic reconstruction [Internet]. IEEE Transactions on Image Processing. 2018 ; Fe 2018( 2): 894-906.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2017.2766785
Artigo de periodico
Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions (2017)
Zibetti, Marcelo V. W; Helou, Elias Salomão ; Pipa, Daniel R
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZIBETTI, Marcelo V. W e HELOU, Elias Salomão e PIPA, Daniel R. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, v. 26, n. 7, p. 3569-3578, 2017Tradução . . Disponível em: https://doi.org/10.1109/TIP.2017.2699483. Acesso em: 15 dez. 2025.
APA
Zibetti, M. V. W., Helou, E. S., & Pipa, D. R. (2017). Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, 26( 7), 3569-3578. doi:10.1109/TIP.2017.2699483
NLM
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2017.2699483
Vancouver
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2017.2699483
Artigo de periodico
Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking (2012)
Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier; Spina, Thiago V
Source: IEEE Transactions on Image Processing. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e FALCÃO, Alexandre Xavier e SPINA, Thiago V. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, v. 21, n. 6, p. 3042\20133052, 2012Tradução . . Disponível em: https://doi.org/10.1109/TIP.2012.2188034. Acesso em: 15 dez. 2025.
APA
Miranda, P. A. V. de, Falcão, A. X., & Spina, T. V. (2012). Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, 21( 6), 3042\20133052. doi:10.1109/TIP.2012.2188034
NLM
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2012.2188034
Vancouver
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 15 ] Available from: https://doi.org/10.1109/TIP.2012.2188034

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