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  • Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SILVA, Dennis J. et al. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform. Journal of Mathematical Imaging and Vision, v. 67, n. artigo 31, p. 1-23, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10851-025-01248-8. Acesso em: 21 out. 2025.
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      Silva, D. J., Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2025). Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform. Journal of Mathematical Imaging and Vision, 67( artigo 31), 1-23. doi:10.1007/s10851-025-01248-8
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      Silva DJ, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( artigo 31): 1-23.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-025-01248-8
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      Silva DJ, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( artigo 31): 1-23.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-025-01248-8
  • Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, v. 65, n. 5, p. 802-817, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10851-023-01158-7. Acesso em: 21 out. 2025.
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      Condori, M. A. T., & Miranda, P. A. V. de. (2023). Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, 65( 5), 802-817. doi:10.1007/s10851-023-01158-7
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      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
    • Vancouver

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
  • Fonte: Proceedings. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      KLEINE, Felipe A. S et al. Unsupervised image segmentation by oriented image foresting transform in layered graphs. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172. Acesso em: 21 out. 2025.
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      Kleine, F. A. S., Santos, L. F. D., Cappabianco, F. A. M., & Miranda, P. A. V. de. (2023). Unsupervised image segmentation by oriented image foresting transform in layered graphs. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347172
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      Kleine FAS, Santos LFD, Cappabianco FAM, Miranda PAV de. Unsupervised image segmentation by oriented image foresting transform in layered graphs [Internet]. Proceedings. 2023 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172
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      Kleine FAS, Santos LFD, Cappabianco FAM, Miranda PAV de. Unsupervised image segmentation by oriented image foresting transform in layered graphs [Internet]. Proceedings. 2023 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172
  • Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Assunto: COMPUTAÇÃO APLICADA

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      CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_24. Acesso em: 21 out. 2025. , 2022
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      Condori, M. A. T., & Miranda, P. A. V. de. (2022). Differential oriented image foresting transform segmentation by seed competition. Lecture Notes in Computer Science. Cham: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-031-19897-7_24
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      Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
    • Vancouver

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform segmentation by seed competition [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 300–311.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_24
  • Fonte: Mathematical Morphology - Theory and Applications. Unidade: IME

    Assuntos: PROCESSAMENTO DE IMAGENS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO

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      LEON, Leissi Margarita Castaneda e CIESIELSKI, Krzysztof Chris e MIRANDA, Paulo André Vechiatto de. Efficient hierarchical multi-object segmentation in layered graphs. Mathematical Morphology - Theory and Applications, v. 5, p. 21-42, 2021Tradução . . Disponível em: https://doi.org/10.1515/mathm-2020-0108. Acesso em: 21 out. 2025.
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      Leon, L. M. C., Ciesielski, K. C., & Miranda, P. A. V. de. (2021). Efficient hierarchical multi-object segmentation in layered graphs. Mathematical Morphology - Theory and Applications, 5, 21-42. doi:10.1515/mathm-2020-0108
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      Leon LMC, Ciesielski KC, Miranda PAV de. Efficient hierarchical multi-object segmentation in layered graphs [Internet]. Mathematical Morphology - Theory and Applications. 2021 ; 5 21-42.[citado 2025 out. 21 ] Available from: https://doi.org/10.1515/mathm-2020-0108
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      Leon LMC, Ciesielski KC, Miranda PAV de. Efficient hierarchical multi-object segmentation in layered graphs [Internet]. Mathematical Morphology - Theory and Applications. 2021 ; 5 21-42.[citado 2025 out. 21 ] Available from: https://doi.org/10.1515/mathm-2020-0108
  • Fonte: Pattern Recognition Letters. Unidade: IME

    Assuntos: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS, CAD

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      BEJAR, Hans H. C e GUIMARAES, Silvio Jamil Ferzoli e MIRANDA, Paulo André Vechiatto de. Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts. Pattern Recognition Letters, v. 131, p. 185-192, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.01.008. Acesso em: 21 out. 2025.
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      Bejar, H. H. C., Guimaraes, S. J. F., & Miranda, P. A. V. de. (2020). Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts. Pattern Recognition Letters, 131, 185-192. doi:10.1016/j.patrec.2020.01.008
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      Bejar HHC, Guimaraes SJF, Miranda PAV de. Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts [Internet]. Pattern Recognition Letters. 2020 ; 131 185-192.[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.patrec.2020.01.008
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      Bejar HHC, Guimaraes SJF, Miranda PAV de. Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts [Internet]. Pattern Recognition Letters. 2020 ; 131 185-192.[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.patrec.2020.01.008
  • Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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      BRAZ, Caio de Moraes et al. Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, v. 62, n. 5, p. 659-672, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10851-020-00953-w. Acesso em: 21 out. 2025.
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      Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2020). Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, 62( 5), 659-672. doi:10.1007/s10851-020-00953-w
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      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
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      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
  • Fonte: Journal of Visual Communication and Image Representation. Unidade: IME

    Assunto: VISÃO COMPUTACIONAL

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      CONDORI, Marcos Ademir Tejada et al. An extension of the differential image foresting transform and its application to superpixel generation. Journal of Visual Communication and Image Representation, v. 71, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jvcir.2019.102748. Acesso em: 21 out. 2025.
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      Condori, M. A. T., Cappabianco, F. A. M., Falcão, A. X., & Miranda, P. A. V. de. (2020). An extension of the differential image foresting transform and its application to superpixel generation. Journal of Visual Communication and Image Representation, 71. doi:10.1016/j.jvcir.2019.102748
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      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. An extension of the differential image foresting transform and its application to superpixel generation [Internet]. Journal of Visual Communication and Image Representation. 2020 ; 71[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.jvcir.2019.102748
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      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. An extension of the differential image foresting transform and its application to superpixel generation [Internet]. Journal of Visual Communication and Image Representation. 2020 ; 71[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.jvcir.2019.102748
  • Fonte: IEEE Transactions on Image Processing. Unidade: IME

    Assuntos: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS

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      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: 21 out. 2025.
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      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
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      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 out. 21 ] Available from: https://doi.org/10.1109/tip.2019.2897941
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      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 out. 21 ] Available from: https://doi.org/10.1109/tip.2019.2897941
  • Fonte: Anais estendidos. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      LEON, Leissi Margarita Castaneda e CIESIELSKI, Krzysztof Chris e MIRANDA, Paulo André Vechiatto de. An efficient hierarchical layered graph approach for multi-region segmentation. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/sibgrapi.est.2019.8301. Acesso em: 21 out. 2025.
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      Leon, L. M. C., Ciesielski, K. C., & Miranda, P. A. V. de. (2019). An efficient hierarchical layered graph approach for multi-region segmentation. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2019.8301
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      Leon LMC, Ciesielski KC, Miranda PAV de. An efficient hierarchical layered graph approach for multi-region segmentation [Internet]. Anais estendidos. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8301
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      Leon LMC, Ciesielski KC, Miranda PAV de. An efficient hierarchical layered graph approach for multi-region segmentation [Internet]. Anais estendidos. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8301
  • Fonte: Anais estendidos. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de. Object segmentation by oriented image foresting transform with connectivity constraints. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/sibgrapi.est.2019.8305. Acesso em: 21 out. 2025.
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      Mansilla, L. A. C., & Miranda, P. A. V. de. (2019). Object segmentation by oriented image foresting transform with connectivity constraints. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2019.8305
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      Mansilla LAC, Miranda PAV de. Object segmentation by oriented image foresting transform with connectivity constraints [Internet]. Anais estendidos. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8305
    • Vancouver

      Mansilla LAC, Miranda PAV de. Object segmentation by oriented image foresting transform with connectivity constraints [Internet]. Anais estendidos. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8305
  • Fonte: Proceedings. Nome do evento: IEEE International Conference on Image Processing - ICIP. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      DEMARIO, Caio Lopes e MIRANDA, Paulo André Vechiatto de. Relaxed oriented image foresting transform for seeded image segmentation. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803080. Acesso em: 21 out. 2025.
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      Demario, C. L., & Miranda, P. A. V. de. (2019). Relaxed oriented image foresting transform for seeded image segmentation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803080
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      Demario CL, Miranda PAV de. Relaxed oriented image foresting transform for seeded image segmentation [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/ICIP.2019.8803080
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      Demario CL, Miranda PAV de. Relaxed oriented image foresting transform for seeded image segmentation [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/ICIP.2019.8803080
  • Fonte: Proceedings. Nome do evento: IEEE International Conference on Image Processing - ICIP. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CAPPABIANCO, Fabio A. M et al. A general and balanced region-based metric for evaluating medical image segmentation algorithms. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803083. Acesso em: 21 out. 2025.
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      Cappabianco, F. A. M., Ribeiro, P. F. O., Miranda, P. A. V. de, & Udupa, J. K. (2019). A general and balanced region-based metric for evaluating medical image segmentation algorithms. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803083
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      Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083
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      Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083
  • Fonte: SIBGRAPI Digital Library Archive. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assuntos: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      FREITAS, Anderson Meirelles e MIRANDA, Paulo André Vechiatto de. New shape descriptors based on tensor scale with global features. 2018, Anais.. Porto Alegre: SBC, 2018. Disponível em: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en. Acesso em: 21 out. 2025.
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      Freitas, A. M., & Miranda, P. A. V. de. (2018). New shape descriptors based on tensor scale with global features. In SIBGRAPI Digital Library Archive. Porto Alegre: SBC. Recuperado de http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
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      Freitas AM, Miranda PAV de. New shape descriptors based on tensor scale with global features [Internet]. SIBGRAPI Digital Library Archive. 2018 ;[citado 2025 out. 21 ] Available from: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
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      Freitas AM, Miranda PAV de. New shape descriptors based on tensor scale with global features [Internet]. SIBGRAPI Digital Library Archive. 2018 ;[citado 2025 out. 21 ] Available from: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
  • Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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      CIESIELSKI, Krzysztof Chris e FALCÃO, Alexandre Xavier e MIRANDA, Paulo André Vechiatto de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, v. 60, n. 7, p. 1025–1036, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0793-1. Acesso em: 21 out. 2025.
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      Ciesielski, K. C., Falcão, A. X., & Miranda, P. A. V. de. (2018). Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, 60( 7), 1025–1036. doi:10.1007/s10851-018-0793-1
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      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
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      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
  • Fonte: Proceedings. Nome do evento: Conference on Graphics, Patterns and Images (SIBGRAPI). Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CONDORI, Marcos Ademir Tejada et al. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.8. Acesso em: 21 out. 2025.
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      Condori, M. A. T., Cappabianco, F. A. M., Falcão, A. X., & Miranda, P. A. V. de. (2017). Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2017.8
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      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.8
    • Vancouver

      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.8
  • Fonte: Proceedings. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assuntos: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA PROCESSAMENTO

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      MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de. Oriented image foresting transform segmentation: connectivity constraints with adjustable width. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2016.047. Acesso em: 21 out. 2025.
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      Mansilla, L. A. C., & Miranda, P. A. V. de. (2017). Oriented image foresting transform segmentation: connectivity constraints with adjustable width. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2016.047
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      Mansilla LAC, Miranda PAV de. Oriented image foresting transform segmentation: connectivity constraints with adjustable width [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.047
    • Vancouver

      Mansilla LAC, Miranda PAV de. Oriented image foresting transform segmentation: connectivity constraints with adjustable width [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.047
  • Fonte: Proceedings of SPIE. Nome do evento: Medical Imaging 2017 : image perception, observer performance, and technology assessment. Unidade: IME

    Assuntos: INFORMÁTICA MÉDICA, PROCESSAMENTO DE IMAGENS, ALGORITMOS

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      TAVARES, Anderson C. M. e BEJAR, Hans H. C. e MIRANDA, Paulo André Vechiatto de. Seed robustness of oriented relative fuzzy connectedness: core computation and its applications. Proceedings of SPIE. Bellingham, United States: SPIE. Disponível em: https://doi.org/10.1117/12.2254646. Acesso em: 21 out. 2025. , 2017
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      Tavares, A. C. M., Bejar, H. H. C., & Miranda, P. A. V. de. (2017). Seed robustness of oriented relative fuzzy connectedness: core computation and its applications. Proceedings of SPIE. Bellingham, United States: SPIE. doi:10.1117/12.2254646
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      Tavares ACM, Bejar HHC, Miranda PAV de. Seed robustness of oriented relative fuzzy connectedness: core computation and its applications [Internet]. Proceedings of SPIE. 2017 ; 10133 1013316-1 - 1013316-10.[citado 2025 out. 21 ] Available from: https://doi.org/10.1117/12.2254646
    • Vancouver

      Tavares ACM, Bejar HHC, Miranda PAV de. Seed robustness of oriented relative fuzzy connectedness: core computation and its applications [Internet]. Proceedings of SPIE. 2017 ; 10133 1013316-1 - 1013316-10.[citado 2025 out. 21 ] Available from: https://doi.org/10.1117/12.2254646
  • Fonte: IFAC-PapersOnLine. Unidades: EP, IME

    Assuntos: PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA

    Versão PublicadaAcesso à fonteDOIComo citar
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    • ABNT

      CAPPABIANCO, Fabio A. M et al. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences. IFAC-PapersOnLine, v. 50, n. 1, p. 15056-15061, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ifacol.2017.08.2519. Acesso em: 21 out. 2025.
    • APA

      Cappabianco, F. A. M., Tsuzuki, M. de S. G., Miranda, P. A. V. de, Martins, T. de C., Kagei, S., Gotoh, T., & Iwasawa, T. (2017). Heart bounding box automatic determination in coronal magnetic resonance temporal sequences. IFAC-PapersOnLine, 50( 1), 15056-15061. doi:10.1016/j.ifacol.2017.08.2519
    • NLM

      Cappabianco FAM, Tsuzuki M de SG, Miranda PAV de, Martins T de C, Kagei S, Gotoh T, Iwasawa T. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences [Internet]. IFAC-PapersOnLine. 2017 ; 50( 1): 15056-15061.[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.ifacol.2017.08.2519
    • Vancouver

      Cappabianco FAM, Tsuzuki M de SG, Miranda PAV de, Martins T de C, Kagei S, Gotoh T, Iwasawa T. Heart bounding box automatic determination in coronal magnetic resonance temporal sequences [Internet]. IFAC-PapersOnLine. 2017 ; 50( 1): 15056-15061.[citado 2025 out. 21 ] Available from: https://doi.org/10.1016/j.ifacol.2017.08.2519
  • Fonte: Proceedings. Nome do evento: Conference on Graphics, Patterns and Images (SIBGRAPI). Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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    • ABNT

      CASTAÑEDA LEÓN, Leissi Margarita e MIRANDA, Paulo André Vechiatto de. Multi-object segmentation by hierarchical layered oriented image foresting transform. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.17. Acesso em: 21 out. 2025.
    • APA

      Castañeda León, L. M., & Miranda, P. A. V. de. (2017). Multi-object segmentation by hierarchical layered oriented image foresting transform. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2017.17
    • NLM

      Castañeda León LM, Miranda PAV de. Multi-object segmentation by hierarchical layered oriented image foresting transform [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.17
    • Vancouver

      Castañeda León LM, Miranda PAV de. Multi-object segmentation by hierarchical layered oriented image foresting transform [Internet]. Proceedings. 2017 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.17

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