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Filtros : "LINARES, OSCAR ALONSO CUADROS" "Indexado no Compendex" Limpar

Filtros

USP affiliated authors
- batista neto, joão do espírito santo (~2)
- linares, oscar alonso cuadros (~2)
Date published
- 2020 (~1)
- 2019 (~1)
Subjects
- processamento de imagens (2)
- anomalia craniofacial (1)
- computação gráfica (1)
- diagnóstico por computador (1)
- microscopia confocal (1)

Artigo de periodico
Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation (2020)
Linares, Oscar Alonso Cuadros ; Hamann, Bernd ; Batista Neto, João do Espírito Santo
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, MICROSCOPIA CONFOCAL, RETINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros e HAMANN, Bernd e BATISTA NETO, João do Espírito Santo. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, v. 29, p. 809-818, 2020Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2936743. Acesso em: 17 nov. 2025.
APA
Linares, O. A. C., Hamann, B., & Batista Neto, J. do E. S. (2020). Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, 29, 809-818. doi:10.1109/TIP.2019.2936743
NLM
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2025 nov. 17 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Vancouver
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2025 nov. 17 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Artigo de periodico
Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering (2019)
Linares, Oscar Cuadros; Bianchi, Jonas ; Raveli, Dirceu ; Batista Neto, João do Espírito Santo ; Hamann, Bernd
Source: Visual Computer. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR COMPUTADOR, ANOMALIA CRANIOFACIAL, TOMOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Cuadros et al. Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering. Visual Computer, v. 35, n. 10, p. 1461-1474, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00371-018-1511-0. Acesso em: 17 nov. 2025.
APA
Linares, O. C., Bianchi, J., Raveli, D., Batista Neto, J. do E. S., & Hamann, B. (2019). Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering. Visual Computer, 35( 10), 1461-1474. doi:10.1007/s00371-018-1511-0
NLM
Linares OC, Bianchi J, Raveli D, Batista Neto J do ES, Hamann B. Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering [Internet]. Visual Computer. 2019 ; 35( 10): 1461-1474.[citado 2025 nov. 17 ] Available from: https://doi.org/10.1007/s00371-018-1511-0
Vancouver
Linares OC, Bianchi J, Raveli D, Batista Neto J do ES, Hamann B. Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering [Internet]. Visual Computer. 2019 ; 35( 10): 1461-1474.[citado 2025 nov. 17 ] Available from: https://doi.org/10.1007/s00371-018-1511-0

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