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Trabalho de evento
A graph convolutional network with localized convolution and readout operations for diagnosing chest X-rays using radiologist gaze data (2024)
Lutfi, Antonio Nascimento ; Batista Neto, Joao do Espirito Santo
Source: Anais estendidos. Conference titles: Conference on Graphics, Patterns, and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TEORIA DOS GRAFOS, DIAGNÓSTICO POR COMPUTADOR, RADIOGRAFIA, TÓRAX
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ABNT
LUTFI, Antonio Nascimento e BATISTA NETO, Joao do Espirito Santo. A graph convolutional network with localized convolution and readout operations for diagnosing chest X-rays using radiologist gaze data. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/sibgrapi.est.2024.31647. Acesso em: 27 nov. 2025.
APA
Lutfi, A. N., & Batista Neto, J. do E. S. (2024). A graph convolutional network with localized convolution and readout operations for diagnosing chest X-rays using radiologist gaze data. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2024.31647
NLM
Lutfi AN, Batista Neto J do ES. A graph convolutional network with localized convolution and readout operations for diagnosing chest X-rays using radiologist gaze data [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5753/sibgrapi.est.2024.31647
Vancouver
Lutfi AN, Batista Neto J do ES. A graph convolutional network with localized convolution and readout operations for diagnosing chest X-rays using radiologist gaze data [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5753/sibgrapi.est.2024.31647
Artigo de periodico
Three-dimensional modeling of faces utilizing robust characteristics (2024)
Rocha, Pedro Regattieri ; Batista Neto, Joao do Espirito Santo
Source: Semina : Ciências Exatas e Tecnológicas. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, IMAGEM 3D, GEOMETRIA E MODELAGEM COMPUTACIONAL
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ABNT
ROCHA, Pedro Regattieri e BATISTA NETO, Joao do Espirito Santo. Three-dimensional modeling of faces utilizing robust characteristics. Semina : Ciências Exatas e Tecnológicas, v. 45, p. 1-9, 2024Tradução . . Disponível em: https://doi.org/10.5433/1679-0375.2024.v45.48505. Acesso em: 27 nov. 2025.
APA
Rocha, P. R., & Batista Neto, J. do E. S. (2024). Three-dimensional modeling of faces utilizing robust characteristics. Semina : Ciências Exatas e Tecnológicas, 45, 1-9. doi:10.5433/1679-0375.2024.v45.48505
NLM
Rocha PR, Batista Neto J do ES. Three-dimensional modeling of faces utilizing robust characteristics [Internet]. Semina : Ciências Exatas e Tecnológicas. 2024 ; 45 1-9.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5433/1679-0375.2024.v45.48505
Vancouver
Rocha PR, Batista Neto J do ES. Three-dimensional modeling of faces utilizing robust characteristics [Internet]. Semina : Ciências Exatas e Tecnológicas. 2024 ; 45 1-9.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5433/1679-0375.2024.v45.48505
Trabalho de evento
Enhancing fairness in machine learning: skin tone classification using the monk skin tone scale (2024)
Matias, Vitor Pereira; Batista Neto, Joao do Espirito Santo
Source: Anais estendidos. Conference titles: Conference on Graphics, Patterns, and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, PELE
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ABNT
MATIAS, Vitor Pereira e BATISTA NETO, Joao do Espirito Santo. Enhancing fairness in machine learning: skin tone classification using the monk skin tone scale. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/sibgrapi.est.2024.31648. Acesso em: 27 nov. 2025.
APA
Matias, V. P., & Batista Neto, J. do E. S. (2024). Enhancing fairness in machine learning: skin tone classification using the monk skin tone scale. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2024.31648
NLM
Matias VP, Batista Neto J do ES. Enhancing fairness in machine learning: skin tone classification using the monk skin tone scale [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5753/sibgrapi.est.2024.31648
Vancouver
Matias VP, Batista Neto J do ES. Enhancing fairness in machine learning: skin tone classification using the monk skin tone scale [Internet]. Anais estendidos. 2024 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5753/sibgrapi.est.2024.31648
Artigo de periodico
Automatic image segmentation based on label propagation (2021)
Belizario, Ivar Vargas ; Linares, Oscar Alonso Cuadros ; Batista Neto, João do Espírito Santo
Source: IET Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BELIZARIO, Ivar Vargas e LINARES, Oscar Alonso Cuadros e BATISTA NETO, João do Espírito Santo. Automatic image segmentation based on label propagation. IET Image Processing, v. 15, n. 11, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1049/ipr2.12242. Acesso em: 27 nov. 2025.
APA
Belizario, I. V., Linares, O. A. C., & Batista Neto, J. do E. S. (2021). Automatic image segmentation based on label propagation. IET Image Processing, 15( 11), Se 2021. doi:10.1049/ipr2.12242
NLM
Belizario IV, Linares OAC, Batista Neto J do ES. Automatic image segmentation based on label propagation [Internet]. IET Image Processing. 2021 ; 15( 11): Se 2021.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/ipr2.12242
Vancouver
Belizario IV, Linares OAC, Batista Neto J do ES. Automatic image segmentation based on label propagation [Internet]. IET Image Processing. 2021 ; 15( 11): Se 2021.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/ipr2.12242
Trabalho de evento
Chikungunya virus inhibitor study based on molecular docking experiments (2020)
Saraiva, Aratã Andrade ; Soares, Jeferson do Nascimento ; Castro, Felipe Miranda ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: BIOINFORMÁTICA, VÍRUS CHIKUNGUNYA, FÁRMACOS
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ABNT
SARAIVA, Aratã Andrade et al. Chikungunya virus inhibitor study based on molecular docking experiments. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009118602000205. Acesso em: 27 nov. 2025.
APA
Saraiva, A. A., Soares, J. do N., Castro, F. M., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Chikungunya virus inhibitor study based on molecular docking experiments. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009118602000205
NLM
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009118602000205
Vancouver
Saraiva AA, Soares J do N, Castro FM, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Chikungunya virus inhibitor study based on molecular docking experiments [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009118602000205
Trabalho de evento
Classification of optical coherence tomography using convolutional neural networks (2020)
Saraiva, Aratã Andrade ; Santos, Domingos Bruno S ; Pimentel, Pedro Mateus Cunha ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, TOMOGRAFIA DE COERÊNCIA ÓPTICA, DIAGNÓSTICO POR COMPUTADOR
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ABNT
SARAIVA, Aratã Andrade et al. Classification of optical coherence tomography using convolutional neural networks. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009091001680175. Acesso em: 27 nov. 2025.
APA
Saraiva, A. A., Santos, D. B. S., Pimentel, P. M. C., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Classification of optical coherence tomography using convolutional neural networks. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009091001680175
NLM
Saraiva AA, Santos DBS, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Classification of optical coherence tomography using convolutional neural networks [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009091001680175
Vancouver
Saraiva AA, Santos DBS, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Classification of optical coherence tomography using convolutional neural networks [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009091001680175
Trabalho de evento
Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images (2020)
Saraiva, Aratã Andrade ; Lopes, Luciano ; Pimentel, Pedro Mateus Cunha ; Sousa, Jose Vigno Moura ; Ferreira, N. M. Fonseca ; Batista Neto, João do Espírito Santo ; Soares, Salviano ; Valente, Antônio
Source: Proceedings. Conference titles: International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DIAGNÓSTICO POR COMPUTADOR, NEOPLASIAS PULMONARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Aratã Andrade et al. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0009178902920297. Acesso em: 27 nov. 2025.
APA
Saraiva, A. A., Lopes, L., Pimentel, P. M. C., Sousa, J. V. M., Ferreira, N. M. F., Batista Neto, J. do E. S., et al. (2020). Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images. In Proceedings. Lisboa: SciTePress. doi:10.5220/0009178902920297
NLM
Saraiva AA, Lopes L, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009178902920297
Vancouver
Saraiva AA, Lopes L, Pimentel PMC, Sousa JVM, Ferreira NMF, Batista Neto J do ES, Soares S, Valente A. Use of convolutional neural networks for detection and segmentation of pulmonary nodules in computed tomography images [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0009178902920297
Artigo de periodico
DICOM compression and decompression method using double cone (2020)
Saraiva, Aratã Andrade ; Oliveira, Marcos Soares de ; Batista Neto, João do Espírito Santo
Source: Research, Society and Development. Unidades: ICMC, FFCLRP
Subjects: PROCESSAMENTO DE IMAGENS, COMPRESSÃO (COMPUTABILIDADE E COMPLEXIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Aratã Andrade e OLIVEIRA, Marcos Soares de e BATISTA NETO, João do Espírito Santo. DICOM compression and decompression method using double cone. Research, Society and Development, v. 9, n. 9, p. 1-33, 2020Tradução . . Disponível em: https://doi.org/10.33448/rsd-v9i9.8032. Acesso em: 27 nov. 2025.
APA
Saraiva, A. A., Oliveira, M. S. de, & Batista Neto, J. do E. S. (2020). DICOM compression and decompression method using double cone. Research, Society and Development, 9( 9), 1-33. doi:10.33448/rsd-v9i9.8032
NLM
Saraiva AA, Oliveira MS de, Batista Neto J do ES. DICOM compression and decompression method using double cone [Internet]. Research, Society and Development. 2020 ; 9( 9): 1-33.[citado 2025 nov. 27 ] Available from: https://doi.org/10.33448/rsd-v9i9.8032
Vancouver
Saraiva AA, Oliveira MS de, Batista Neto J do ES. DICOM compression and decompression method using double cone [Internet]. Research, Society and Development. 2020 ; 9( 9): 1-33.[citado 2025 nov. 27 ] Available from: https://doi.org/10.33448/rsd-v9i9.8032
Trabalho de evento
Multi-level graph label propagation for image segmentation (2020)
Belizario, Ivar Vargas ; Batista Neto, João do Espírito Santo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BELIZARIO, Ivar Vargas e BATISTA NETO, João do Espírito Santo. Multi-level graph label propagation for image segmentation. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/SIBGRAPI51738.2020.00034. Acesso em: 27 nov. 2025.
APA
Belizario, I. V., & Batista Neto, J. do E. S. (2020). Multi-level graph label propagation for image segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI51738.2020.00034
NLM
Belizario IV, Batista Neto J do ES. Multi-level graph label propagation for image segmentation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00034
Vancouver
Belizario IV, Batista Neto J do ES. Multi-level graph label propagation for image segmentation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00034
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: 27 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. 27 ] 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. 27 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Trabalho de evento-anais periodico
Introducing a low-cost tool for 3D characterization of pitting corrosion in stainless steel (2020)
Coelho, Dyovani ; Linares, Oscar Alonso Cuadros ; Oliveira, Aloadir L. S ; Andrade Junior, Marcos Antonio Santana ; Mascaro, Lúcia Helena ; Batista Neto, João do Espírito Santo ; Bruno, Odemir Martinez ; Pereira, Ernesto Chaves
Source: Journal of Solid State Electrochemistry. Conference titles: Simpósio Brasileiro de Eletroquímica e Eletroanalítica - SIBEE. Unidades: ICMC, IFSC
Subjects: IMAGEM 3D, COMPUTAÇÃO GRÁFICA, CORROSÃO, AÇO INOXIDÁVEL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COELHO, Dyovani et al. Introducing a low-cost tool for 3D characterization of pitting corrosion in stainless steel. Journal of Solid State Electrochemistry. New York: Springer. Disponível em: https://doi.org/10.1007/s10008-020-04586-2. Acesso em: 27 nov. 2025. , 2020
APA
Coelho, D., Linares, O. A. C., Oliveira, A. L. S., Andrade Junior, M. A. S., Mascaro, L. H., Batista Neto, J. do E. S., et al. (2020). Introducing a low-cost tool for 3D characterization of pitting corrosion in stainless steel. Journal of Solid State Electrochemistry. New York: Springer. doi:10.1007/s10008-020-04586-2
NLM
Coelho D, Linares OAC, Oliveira ALS, Andrade Junior MAS, Mascaro LH, Batista Neto J do ES, Bruno OM, Pereira EC. Introducing a low-cost tool for 3D characterization of pitting corrosion in stainless steel [Internet]. Journal of Solid State Electrochemistry. 2020 ; 24( 8): 1909-1919.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10008-020-04586-2
Vancouver
Coelho D, Linares OAC, Oliveira ALS, Andrade Junior MAS, Mascaro LH, Batista Neto J do ES, Bruno OM, Pereira EC. Introducing a low-cost tool for 3D characterization of pitting corrosion in stainless steel [Internet]. Journal of Solid State Electrochemistry. 2020 ; 24( 8): 1909-1919.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10008-020-04586-2
Trabalho de evento-anais periodico
Image segmentation based on multiplex networks and super pixels (2019)
Oliveira, Ivo Socrates M. de; Linares, Oscar Alonso Cuadros; Oliveira, Ary Henrique M. de; Botelho, Glenda Michele; Batista Neto, João do Espírito Santo
Source: Computer Science and Information Technology. Conference titles: International Conference on Signal Image Processing and Multimedia - SIPM. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ivo Socrates M. de et al. Image segmentation based on multiplex networks and super pixels. Computer Science and Information Technology. Chennai: AIRCC Publishing Corporation. Disponível em: https://doi.org/10.5121/csit.2019.90304. Acesso em: 27 nov. 2025. , 2019
APA
Oliveira, I. S. M. de, Linares, O. A. C., Oliveira, A. H. M. de, Botelho, G. M., & Batista Neto, J. do E. S. (2019). Image segmentation based on multiplex networks and super pixels. Computer Science and Information Technology. Chennai: AIRCC Publishing Corporation. doi:10.5121/csit.2019.90304
NLM
Oliveira ISM de, Linares OAC, Oliveira AHM de, Botelho GM, Batista Neto J do ES. Image segmentation based on multiplex networks and super pixels [Internet]. Computer Science and Information Technology. 2019 ; 9( 3): 33-42.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5121/csit.2019.90304
Vancouver
Oliveira ISM de, Linares OAC, Oliveira AHM de, Botelho GM, Batista Neto J do ES. Image segmentation based on multiplex networks and super pixels [Internet]. Computer Science and Information Technology. 2019 ; 9( 3): 33-42.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5121/csit.2019.90304
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: 27 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. 27 ] 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. 27 ] Available from: https://doi.org/10.1007/s00371-018-1511-0
Trabalho de evento-resumo
Statistical randomness tests with the TestU01 library for a hardware random number generator (2019)
Catanante, Victor Augusto Alves; Merenda, João Vitor; Batista Neto, João do Espírito Santo ; Bruno, Odemir Martinez
Source: Book of abstracts. Conference titles: Semana Integrada do Instituto de Física de São Carlos - SIFSC. Unidades: ICMC, IFSC
Subjects: COMPUTAÇÃO GRÁFICA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CATANANTE, Victor Augusto Alves et al. Statistical randomness tests with the TestU01 library for a hardware random number generator. 2019, Anais.. São Carlos: Universidade de São Paulo - USP, Instituto de Física de São Carlos - IFSC, 2019. . Acesso em: 27 nov. 2025.
APA
Catanante, V. A. A., Merenda, J. V., Batista Neto, J. do E. S., & Bruno, O. M. (2019). Statistical randomness tests with the TestU01 library for a hardware random number generator. In Book of abstracts. São Carlos: Universidade de São Paulo - USP, Instituto de Física de São Carlos - IFSC.
NLM
Catanante VAA, Merenda JV, Batista Neto J do ES, Bruno OM. Statistical randomness tests with the TestU01 library for a hardware random number generator. Book of abstracts. 2019 ;[citado 2025 nov. 27 ]
Vancouver
Catanante VAA, Merenda JV, Batista Neto J do ES, Bruno OM. Statistical randomness tests with the TestU01 library for a hardware random number generator. Book of abstracts. 2019 ;[citado 2025 nov. 27 ]
Trabalho de evento-resumo periodico
A new and cheap methodology to study tridimensionally pitting corrosion in stainless steel (2018)
Coelho, Dyovani; Lineares, Oscar Cuadros; Oliveira, Aloadir; Andrade Junior, Marcos; Rios, Emerson; Zimer, Alexsandro Mendes; Mascaro, Lucia Helena; Batista Neto, João do Espírito Santo ; Bruno, Odemir Martinez ; Pereira, Ernesto Chaves
Source: ECS Meeting Abstracts. Conference titles: ECS Meeting. Unidades: ICMC, IFSC
Subjects: CORROSÃO DOS MATERIAIS, AÇO INOXIDÁVEL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COELHO, Dyovani et al. A new and cheap methodology to study tridimensionally pitting corrosion in stainless steel. ECS Meeting Abstracts. Pennington: Electrochemical Society - ECS. Disponível em: http://ma.ecsdl.org/content/MA2018-01/14/1098.abstract?sid=f7990d3b-e39f-4694-89c6-e279f50ffef6. Acesso em: 27 nov. 2025. , 2018
APA
Coelho, D., Lineares, O. C., Oliveira, A., Andrade Junior, M., Rios, E., Zimer, A. M., et al. (2018). A new and cheap methodology to study tridimensionally pitting corrosion in stainless steel. ECS Meeting Abstracts. Pennington: Electrochemical Society - ECS. Recuperado de http://ma.ecsdl.org/content/MA2018-01/14/1098.abstract?sid=f7990d3b-e39f-4694-89c6-e279f50ffef6
NLM
Coelho D, Lineares OC, Oliveira A, Andrade Junior M, Rios E, Zimer AM, Mascaro LH, Batista Neto J do ES, Bruno OM, Pereira EC. A new and cheap methodology to study tridimensionally pitting corrosion in stainless steel [Internet]. ECS Meeting Abstracts. 2018 ; MA2018-01[citado 2025 nov. 27 ] Available from: http://ma.ecsdl.org/content/MA2018-01/14/1098.abstract?sid=f7990d3b-e39f-4694-89c6-e279f50ffef6
Vancouver
Coelho D, Lineares OC, Oliveira A, Andrade Junior M, Rios E, Zimer AM, Mascaro LH, Batista Neto J do ES, Bruno OM, Pereira EC. A new and cheap methodology to study tridimensionally pitting corrosion in stainless steel [Internet]. ECS Meeting Abstracts. 2018 ; MA2018-01[citado 2025 nov. 27 ] Available from: http://ma.ecsdl.org/content/MA2018-01/14/1098.abstract?sid=f7990d3b-e39f-4694-89c6-e279f50ffef6
Artigo de periodico
Segmentation of large images based on super-pixels and community detection in graphs (2017)
Linares, Oscar A. C; Botelho, Glenda Michele; Rodrigues, Francisco Aparecido ; Batista Neto, João do Espírito Santo
Source: IET Image Processing. Unidade: ICMC
Subjects: RENDERIZAÇÃO, ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar A. C et al. Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, v. 11, n. 12, p. 1219-1228, 2017Tradução . . Disponível em: https://doi.org/10.1049/iet-ipr.2016.0072. Acesso em: 27 nov. 2025.
APA
Linares, O. A. C., Botelho, G. M., Rodrigues, F. A., & Batista Neto, J. do E. S. (2017). Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, 11( 12), 1219-1228. doi:10.1049/iet-ipr.2016.0072
NLM
Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072
Vancouver
Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072
Trabalho de evento
An empirical study on the effects of different types of noise in image classification tasks (2016)
Costa, Gabriel B. Paranhos da; Contato, Welinton A; Nazaré, Tiago Santana de ; Batista Neto, João do Espírito Santo ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Gabriel B. Paranhos da et al. An empirical study on the effects of different types of noise in image classification tasks. 2016, Anais.. Campo Grande: Universidade Católica Dom Bosco - UCDB, 2016. Disponível em: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf. Acesso em: 27 nov. 2025.
APA
Costa, G. B. P. da, Contato, W. A., Nazaré, T. S. de, Batista Neto, J. do E. S., & Ponti, M. A. (2016). An empirical study on the effects of different types of noise in image classification tasks. In Proceedings. Campo Grande: Universidade Católica Dom Bosco - UCDB. Recuperado de http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
NLM
Costa GBP da, Contato WA, Nazaré TS de, Batista Neto J do ES, Ponti MA. An empirical study on the effects of different types of noise in image classification tasks [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Vancouver
Costa GBP da, Contato WA, Nazaré TS de, Batista Neto J do ES, Ponti MA. An empirical study on the effects of different types of noise in image classification tasks [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Trabalho de evento
Improving non-local video denoising with local binary patterns and image quantization (2016)
Contato, Welinton A; Nazaré, Tiago Santana de ; Costa, Gabriel B. Paranhos da; Ponti, Moacir Antonelli ; Batista Neto, João do Espírito Santo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTATO, Welinton A et al. Improving non-local video denoising with local binary patterns and image quantization. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/SIBGRAPI.2016.041. Acesso em: 27 nov. 2025.
APA
Contato, W. A., Nazaré, T. S. de, Costa, G. B. P. da, Ponti, M. A., & Batista Neto, J. do E. S. (2016). Improving non-local video denoising with local binary patterns and image quantization. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2016.041
NLM
Contato WA, Nazaré TS de, Costa GBP da, Ponti MA, Batista Neto J do ES. Improving non-local video denoising with local binary patterns and image quantization [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.041
Vancouver
Contato WA, Nazaré TS de, Costa GBP da, Ponti MA, Batista Neto J do ES. Improving non-local video denoising with local binary patterns and image quantization [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.041
Artigo de periodico
Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension (2015)
Backes, André Ricardo; Gerhardinger, Leandro Cavaleri; Batista Neto, João do Espírito Santo ; Bruno, Odemir Martinez
Source: Physics in Medicine and Biology. Unidades: ICMC, IFSC
Subjects: PROCESSAMENTO DE IMAGENS, CIÊNCIA DA COMPUTAÇÃO, CADEIAS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BACKES, André Ricardo et al. Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension. Physics in Medicine and Biology, v. 60, n. 3, p. 1125-1139, 2015Tradução . . Disponível em: https://doi.org/10.1088/0031-9155/60/3/1125. Acesso em: 27 nov. 2025.
APA
Backes, A. R., Gerhardinger, L. C., Batista Neto, J. do E. S., & Bruno, O. M. (2015). Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension. Physics in Medicine and Biology, 60( 3), 1125-1139. doi:10.1088/0031-9155/60/3/1125
NLM
Backes AR, Gerhardinger LC, Batista Neto J do ES, Bruno OM. Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension [Internet]. Physics in Medicine and Biology. 2015 ; 60( 3): 1125-1139.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1088/0031-9155/60/3/1125
Vancouver
Backes AR, Gerhardinger LC, Batista Neto J do ES, Bruno OM. Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension [Internet]. Physics in Medicine and Biology. 2015 ; 60( 3): 1125-1139.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1088/0031-9155/60/3/1125
Trabalho de evento
An adjustable error measure for image segmentation evaluation (2015)
Linares, Oscar Cuadros; Botelho, Glenda; Rodrigues, Francisco Aparecido ; Batista Neto, João do Espírito Santo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, PROCESSOS ESTOCÁSTICOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Cuadros et al. An adjustable error measure for image segmentation evaluation. 2015, Anais.. Los Alamitos: IEEE, 2015. Disponível em: https://doi.org/10.1109/SIBGRAPI.2015.29. Acesso em: 27 nov. 2025.
APA
Linares, O. C., Botelho, G., Rodrigues, F. A., & Batista Neto, J. do E. S. (2015). An adjustable error measure for image segmentation evaluation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2015.29
NLM
Linares OC, Botelho G, Rodrigues FA, Batista Neto J do ES. An adjustable error measure for image segmentation evaluation [Internet]. Proceedings. 2015 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.29
Vancouver
Linares OC, Botelho G, Rodrigues FA, Batista Neto J do ES. An adjustable error measure for image segmentation evaluation [Internet]. Proceedings. 2015 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.29

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