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Artigo de periodico
Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test (u2026)
Pineda, Aruane Mello ; Vicchietti, Mario Lucas ; Carra, Rafael Bernhart ; Thome-Souza, Sigride ; Salgado, Daniele; Rodrigues, Francisco Aparecido ; Campanharo, Andriana ; Cury, Rubens Gisbert
Source: Biomedical Signal Processing and Control. Unidades: ICMC, FM
Subjects: CLASSIFICAÇÃO, REDES COMPLEXAS, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINEDA, Aruane Mello et al. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test. Biomedical Signal Processing and Control, v. 114, p. 1-10, Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2025.109269. Acesso em: 24 fev. 2026.
APA
Pineda, A. M., Vicchietti, M. L., Carra, R. B., Thome-Souza, S., Salgado, D., Rodrigues, F. A., et al. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test. Biomedical Signal Processing and Control, 114, 1-10. doi:10.1016/j.bspc.2025.109269
NLM
Pineda AM, Vicchietti ML, Carra RB, Thome-Souza S, Salgado D, Rodrigues FA, Campanharo A, Cury RG. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test [Internet]. Biomedical Signal Processing and Control. 0 114 1-10.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2025.109269
Vancouver
Pineda AM, Vicchietti ML, Carra RB, Thome-Souza S, Salgado D, Rodrigues FA, Campanharo A, Cury RG. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test [Internet]. Biomedical Signal Processing and Control. 0 114 1-10.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2025.109269
Artigo de periodico
Lung automatic seeding and segmentation: a robust method based on relaxed oriented image foresting transform (2026)
Choi, Jungeui ; Condori, Marcos Ademir Tejada ; Miranda, Paulo André Vechiatto de ; Tsuzuki, Marcos Sales Guerra
Source: Biomedical Signal Processing and Control. Unidades: IME, EP
Subjects: TOMOGRAFIA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHOI, Jungeui et al. Lung automatic seeding and segmentation: a robust method based on relaxed oriented image foresting transform. Biomedical Signal Processing and Control, v. 117, n. artigo 109537, p. 1-14, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2026.109537. Acesso em: 24 fev. 2026.
APA
Choi, J., Condori, M. A. T., Miranda, P. A. V. de, & Tsuzuki, M. S. G. (2026). Lung automatic seeding and segmentation: a robust method based on relaxed oriented image foresting transform. Biomedical Signal Processing and Control, 117( artigo 109537), 1-14. doi:10.1016/j.bspc.2026.109537
NLM
Choi J, Condori MAT, Miranda PAV de, Tsuzuki MSG. Lung automatic seeding and segmentation: a robust method based on relaxed oriented image foresting transform [Internet]. Biomedical Signal Processing and Control. 2026 ; 117( artigo 109537): 1-14.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2026.109537
Vancouver
Choi J, Condori MAT, Miranda PAV de, Tsuzuki MSG. Lung automatic seeding and segmentation: a robust method based on relaxed oriented image foresting transform [Internet]. Biomedical Signal Processing and Control. 2026 ; 117( artigo 109537): 1-14.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2026.109537
Artigo de periodico
A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative (2022)
Ribas, Lucas Correia ; Riad, Rabia ; Jennane, Rachid ; Bruno, Odemir Martinez
Source: Biomedical Signal Processing and Control. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, OSTEOARTRITE DO JOELHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, v. 222, n. Ja 2022, p. 103133-1-103133-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.103133. Acesso em: 24 fev. 2026.
APA
Ribas, L. C., Riad, R., Jennane, R., & Bruno, O. M. (2022). A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, 222( Ja 2022), 103133-1-103133-10. doi:10.1016/j.bspc.2021.103133
NLM
Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
Vancouver
Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
Artigo de periodico
Oscillatory patterns in heart rate variability and complexity: a meta-analysis (2016)
Natali, José Eduardo Soubhia; Starzynski, Paulo Nogueira; Chaui-Berlinck, Jose Guilherme
Source: Biomedical Signal Processing and Control. Unidade: IB
Subjects: FREQUÊNCIA CARDÍACA, SISTEMA NERVOSO SIMPÁTICO, FISIOLOGIA CARDIOVASCULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NATALI, José Eduardo Soubhia e STARZYNSKI, Paulo Nogueira e CHAUI-BERLINCK, Jose Guilherme. Oscillatory patterns in heart rate variability and complexity: a meta-analysis. Biomedical Signal Processing and Control, v. 33, p. 66-71, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2016.11.012. Acesso em: 24 fev. 2026.
APA
Natali, J. E. S., Starzynski, P. N., & Chaui-Berlinck, J. G. (2016). Oscillatory patterns in heart rate variability and complexity: a meta-analysis. Biomedical Signal Processing and Control, 33, 66-71. doi:10.1016/j.bspc.2016.11.012
NLM
Natali JES, Starzynski PN, Chaui-Berlinck JG. Oscillatory patterns in heart rate variability and complexity: a meta-analysis [Internet]. Biomedical Signal Processing and Control. 2016 ; 33 66-71.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2016.11.012
Vancouver
Natali JES, Starzynski PN, Chaui-Berlinck JG. Oscillatory patterns in heart rate variability and complexity: a meta-analysis [Internet]. Biomedical Signal Processing and Control. 2016 ; 33 66-71.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2016.11.012
Artigo de periodico
Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images (2014)
Iwao, Yuma; Gotoh, Toshiyuki; Kagei, Seiichiro; Iwasawa, Tae; Tsuzuki, Marcos de Sales Guerra
Source: Biomedical Signal Processing and Control. Unidade: EP
Subjects: TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DOENÇAS PULMONARES, ALGORITMOS PARA IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IWAO, Yuma et al. Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images. Biomedical Signal Processing and Control, v. 12, p. 28-38, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2013.10.005. Acesso em: 24 fev. 2026.
APA
Iwao, Y., Gotoh, T., Kagei, S., Iwasawa, T., & Tsuzuki, M. de S. G. (2014). Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images. Biomedical Signal Processing and Control, 12, 28-38. doi:10.1016/j.bspc.2013.10.005
NLM
Iwao Y, Gotoh T, Kagei S, Iwasawa T, Tsuzuki M de SG. Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images [Internet]. Biomedical Signal Processing and Control. 2014 ; 12 28-38.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2013.10.005
Vancouver
Iwao Y, Gotoh T, Kagei S, Iwasawa T, Tsuzuki M de SG. Integrated lung field segmentation of injured region with anatomical structure analysis by failure–recovery algorithm from chest CT images [Internet]. Biomedical Signal Processing and Control. 2014 ; 12 28-38.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2013.10.005
Artigo de periodico
Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns (2011)
Sato, André Kubagawa ; Stevo, Neylor Antunes; Tavares, Renato Seiji; Tsuzuki, Marcos de Sales Guerra ; Kadota, Eiji; Gotoh, Toshiyuki
Source: Biomedical Signal Processing and Control. Unidade: EP
Subjects: RESSONÂNCIA MAGNÉTICA, IMAGEM POR RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, André Kubagawa et al. Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns. Biomedical Signal Processing and Control, v. 6, p. 34-47, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2010.08.002. Acesso em: 24 fev. 2026.
APA
Sato, A. K., Stevo, N. A., Tavares, R. S., Tsuzuki, M. de S. G., Kadota, E., & Gotoh, T. (2011). Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns. Biomedical Signal Processing and Control, 6, 34-47. doi:10.1016/j.bspc.2010.08.002
NLM
Sato AK, Stevo NA, Tavares RS, Tsuzuki M de SG, Kadota E, Gotoh T. Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns [Internet]. Biomedical Signal Processing and Control. 2011 ; 6 34-47.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2010.08.002
Vancouver
Sato AK, Stevo NA, Tavares RS, Tsuzuki M de SG, Kadota E, Gotoh T. Registration of temporal sequences of coronal and sagittal MR images through respiratory patterns [Internet]. Biomedical Signal Processing and Control. 2011 ; 6 34-47.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1016/j.bspc.2010.08.002

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