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Filtros : "ALGORITMOS" "Research on Biomedical Engineering" Removido: "Indexado no: Scopus" Limpar

Filtros

Artigo de periodico
Brain Logistic Segmentation (BLS): an efficient algorithm for whole-brain tissue segmentation in structural magnetic resonance imaging (2023)
Senra Filho, Antonio Carlos da Silva ; Murta Júnior, Luiz Otávio
Fonte: Research on Biomedical Engineering. Unidade: FFCLRP
Assuntos: ALGORITMOS, CÉREBRO, RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SENRA FILHO, Antonio Carlos da Silva e MURTA JÚNIOR, Luiz Otávio. Brain Logistic Segmentation (BLS): an efficient algorithm for whole-brain tissue segmentation in structural magnetic resonance imaging. Research on Biomedical Engineering, v. 40, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42600-023-00325-4. Acesso em: 08 out. 2025.
APA
Senra Filho, A. C. da S., & Murta Júnior, L. O. (2023). Brain Logistic Segmentation (BLS): an efficient algorithm for whole-brain tissue segmentation in structural magnetic resonance imaging. Research on Biomedical Engineering, 40, 1-13. doi:10.1007/s42600-023-00325-4
NLM
Senra Filho AC da S, Murta Júnior LO. Brain Logistic Segmentation (BLS): an efficient algorithm for whole-brain tissue segmentation in structural magnetic resonance imaging [Internet]. Research on Biomedical Engineering. 2023 ; 40 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s42600-023-00325-4
Vancouver
Senra Filho AC da S, Murta Júnior LO. Brain Logistic Segmentation (BLS): an efficient algorithm for whole-brain tissue segmentation in structural magnetic resonance imaging [Internet]. Research on Biomedical Engineering. 2023 ; 40 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s42600-023-00325-4
Artigo de periodico
Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves (2017)
Peres, André Salles Cunha; Lemos, Tenysson Will de; Barros, Allan Kardec Duailibe; Baffa, Oswaldo; Araújo, Dráulio Barros de
Fonte: Research on Biomedical Engineering. Unidades: FMRP, FFCLRP
Assuntos: IMAGEM POR RESSONÂNCIA MAGNÉTICA, ALGORITMOS, CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERES, André Salles Cunha et al. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, v. 33, n. 1, p. 31-41, 2017Tradução . . Disponível em: https://doi.org/10.1590/2446-4740.03215. Acesso em: 08 out. 2025.
APA
Peres, A. S. C., Lemos, T. W. de, Barros, A. K. D., Baffa, O., & Araújo, D. B. de. (2017). Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, 33( 1), 31-41. doi:10.1590/2446-4740.03215
NLM
Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2025 out. 08 ] Available from: https://doi.org/10.1590/2446-4740.03215
Vancouver
Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2025 out. 08 ] Available from: https://doi.org/10.1590/2446-4740.03215

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