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Artigo de periodico
Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform (2025)
Silva, Dennis J.; Miranda, Paulo André Vechiatto de ; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio ; Kosinka, Jiří ; Roerdink, Jos B. T. M.
Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
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.
APA
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
NLM
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
Vancouver
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
Trabalho de evento-anais periodico
Differential maximum euclidean distance transform computation in component trees (2024)
Silva, Dennis José da; Miranda, Paulo André Vechiatto de ; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio ; Kosinka, Jiří ; Roerdink, Jos B. T. M.
Fonte: Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assuntos: COMPUTAÇÃO APLICADA, COMPUTAÇÃO GRÁFICA
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ABNT
SILVA, Dennis José da et al. Differential maximum euclidean distance transform computation in component trees. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_6. Acesso em: 21 out. 2025. , 2024
APA
Silva, D. J. da, Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2024). Differential maximum euclidean distance transform computation in component trees. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Cham: Springer. doi:10.1007/978-3-031-57793-2_6
NLM
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. 2024 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_6
Vancouver
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. 2024 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_6
Artigo de periodico
Differential oriented image foresting transform and its applications to support high-level priors for object segmentation (2023)
Condori, Marcos Ademir Tejada ; Miranda, Paulo André Vechiatto de
Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
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.
APA
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
NLM
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
Trabalho de evento-anais periodico
Graph-based image segmentation with shape priors and band constraints (2022)
Braz, Caio de Moraes ; Santos, Luiz Felipe D.; Miranda, Paulo André Vechiatto de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
BRAZ, Caio de Moraes e SANTOS, Luiz Felipe D. e MIRANDA, Paulo André Vechiatto de. Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-19897-7_23. Acesso em: 21 out. 2025. , 2022
APA
Braz, C. de M., Santos, L. F. D., & Miranda, P. A. V. de. (2022). Graph-based image segmentation with shape priors and band constraints. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-19897-7_23
NLM
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Vancouver
Braz C de M, Santos LFD, Miranda PAV de. Graph-based image segmentation with shape priors and band constraints [Internet]. Lecture Notes in Computer Science. 2022 ; 13493 287–299.[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-19897-7_23
Trabalho de evento-anais periodico
Differential oriented image foresting transform segmentation by seed competition (2022)
Condori, Marcos Ademir Tejada ; Miranda, Paulo André Vechiatto de
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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ABNT
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
APA
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
NLM
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
Trabalho de evento
Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas (2022)
Choi, Jungeui ; Ueda, Edson Kenji ; Duran, Guilherme Cortez ; Miranda, Paulo André Vechiatto de ; Tsuzuki, Marcos de Sales Guerra
Fonte: Proceedings. Nome do evento: International Conference on Geometry and Graphics - ICGG. Unidades: IME, EP
Assuntos: ANATOMIA, COMPUTAÇÃO APLICADA, PROCESSAMENTO DE IMAGENS
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ABNT
CHOI, Jungeui et al. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-13588-0_55. Acesso em: 21 out. 2025.
APA
Choi, J., Ueda, E. K., Duran, G. C., Miranda, P. A. V. de, & Tsuzuki, M. de S. G. (2022). Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-13588-0_55
NLM
Choi J, Ueda EK, Duran GC, Miranda PAV de, Tsuzuki M de SG. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas [Internet]. Proceedings. 2022 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-13588-0_55
Vancouver
Choi J, Ueda EK, Duran GC, Miranda PAV de, Tsuzuki M de SG. Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas [Internet]. Proceedings. 2022 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-031-13588-0_55
Trabalho de evento
Image segmentation by relaxed deep extreme cut with connected extreme points (2021)
Oliveira, Débora Emili Costa; Demario, Caio Lopes; Miranda, Paulo André Vechiatto de
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Débora Emili Costa e DEMARIO, Caio Lopes e MIRANDA, Paulo André Vechiatto de. Image segmentation by relaxed deep extreme cut with connected extreme points. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-76657-3_32. Acesso em: 21 out. 2025.
APA
Oliveira, D. E. C., Demario, C. L., & Miranda, P. A. V. de. (2021). Image segmentation by relaxed deep extreme cut with connected extreme points. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-76657-3_32
NLM
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32
Vancouver
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32
Trabalho de evento
Towards interactive image segmentation by dynamic and iterative spanning forest (2021)
Borlido Barcelos, Isabela ; Belém, Felipe; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier ; Patrocínio Júnior, Zenilton Kleber G. do ; Guimaraes, Silvio Jamil Ferzoli
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
BORLIDO BARCELOS, Isabela et al. Towards interactive image segmentation by dynamic and iterative spanning forest. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-76657-3_25. Acesso em: 21 out. 2025.
APA
Borlido Barcelos, I., Belém, F., Miranda, P. A. V. de, Falcão, A. X., Patrocínio Júnior, Z. K. G. do, & Guimaraes, S. J. F. (2021). Towards interactive image segmentation by dynamic and iterative spanning forest. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-76657-3_25
NLM
Borlido Barcelos I, Belém F, Miranda PAV de, Falcão AX, Patrocínio Júnior ZKG do, Guimaraes SJF. Towards interactive image segmentation by dynamic and iterative spanning forest [Internet]. Proceedings. 2021 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_25
Vancouver
Borlido Barcelos I, Belém F, Miranda PAV de, Falcão AX, Patrocínio Júnior ZKG do, Guimaraes SJF. Towards interactive image segmentation by dynamic and iterative spanning forest [Internet]. Proceedings. 2021 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_25
Artigo de periodico
Efficient hierarchical multi-object segmentation in layered graphs (2021)
Leon, Leissi Margarita Castaneda ; Ciesielski, Krzysztof Chris ; Miranda, Paulo André Vechiatto de
Fonte: Mathematical Morphology - Theory and Applications. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
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ABNT
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.
APA
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
NLM
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
Vancouver
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
Artigo de periodico
Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts (2020)
Bejar, Hans H. C ; Guimaraes, Silvio Jamil Ferzoli ; Miranda, Paulo André Vechiatto de
Fonte: Pattern Recognition Letters. Unidade: IME
Assuntos: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS, CAD
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ABNT
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.
APA
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
NLM
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
Vancouver
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
Artigo de periodico
Optimum cuts in graphs by general fuzzy connectedness with local band constraints (2020)
Braz, Caio de Moraes; Miranda, Paulo André Vechiatto de ; Ciesielski, Krzysztof Chris; Cappabianco, Fabio A. M
Fonte: Journal of Mathematical Imaging and Vision. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
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ABNT
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.
APA
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
NLM
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
Vancouver
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
Artigo de periodico
An extension of the differential image foresting transform and its application to superpixel generation (2020)
Condori, Marcos Ademir Tejada ; Cappabianco, Fabio A. M ; Falcão, Alexandre Xavier ; Miranda, Paulo André Vechiatto de
Fonte: Journal of Visual Communication and Image Representation. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
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ABNT
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.
APA
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
NLM
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
Vancouver
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
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
Fonte: IEEE Transactions on Image Processing. Unidade: IME
Assuntos: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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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: 21 out. 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 out. 21 ] 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 out. 21 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Trabalho de evento
Efficient interactive multi-object segmentation in medical images (2019)
Leon, Leissi Margarita Castañeda; Miranda, Paulo André Vechiatto de
Fonte: Proceedings. Nome do evento: European Conference on Computer Vision - ECCV. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEON, Leissi Margarita Castañeda e MIRANDA, Paulo André Vechiatto de. Efficient interactive multi-object segmentation in medical images. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-11018-5_61. Acesso em: 21 out. 2025.
APA
Leon, L. M. C., & Miranda, P. A. V. de. (2019). Efficient interactive multi-object segmentation in medical images. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-11018-5_61
NLM
Leon LMC, Miranda PAV de. Efficient interactive multi-object segmentation in medical images [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-11018-5_61
Vancouver
Leon LMC, Miranda PAV de. Efficient interactive multi-object segmentation in medical images [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-11018-5_61
Trabalho de evento
Graph-based segmentation with local band constraints (2019)
Braz, Caio de Moraes; Miranda, Paulo André Vechiatto de ; Ciesielski, Krzysztof Chris; Cappabianco, Fabio Augusto Menocci
Fonte: Proceedings. Nome do evento: International Conference on Discrete Geometry for Computer Imagery - DGCI. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
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ABNT
BRAZ, Caio de Moraes et al. Graph-based segmentation with local band constraints. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-14085-4_13. Acesso em: 21 out. 2025.
APA
Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2019). Graph-based segmentation with local band constraints. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-14085-4_13
NLM
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
Vancouver
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
Trabalho de evento
An efficient hierarchical layered graph approach for multi-region segmentation (2019)
Leon, Leissi Margarita Castaneda ; Ciesielski, Krzysztof Chris ; Miranda, Paulo André Vechiatto de
Fonte: Anais estendidos. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Vancouver
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
Trabalho de evento
Object segmentation by oriented image foresting transform with connectivity constraints (2019)
Mansilla, Lucy Alsina Choque ; Miranda, Paulo André Vechiatto de
Fonte: Anais estendidos. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Trabalho de evento
Efficient unsupervised image segmentation by optimum cuts in graphs (2019)
Bejar, Hans H. C ; Mansilla, Lucy Alsina Choque ; Miranda, Paulo André Vechiatto de
Fonte: Proceedings. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: IME
Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BEJAR, Hans H. C e MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de. Efficient unsupervised image segmentation by optimum cuts in graphs. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_42. Acesso em: 21 out. 2025.
APA
Bejar, H. H. C., Mansilla, L. A. C., & Miranda, P. A. V. de. (2019). Efficient unsupervised image segmentation by optimum cuts in graphs. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-13469-3_42
NLM
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42
Vancouver
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2025 out. 21 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42
Trabalho de evento
Relaxed oriented image foresting transform for seeded image segmentation (2019)
Demario, Caio Lopes; Miranda, Paulo André Vechiatto de
Fonte: Proceedings. Nome do evento: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Vancouver
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
Trabalho de evento
A general and balanced region-based metric for evaluating medical image segmentation algorithms (2019)
Cappabianco, Fabio A. M ; Ribeiro, Pedro F. O; Miranda, Paulo André Vechiatto de ; Udupa, Jayaram K
Fonte: Proceedings. Nome do evento: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Vancouver
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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