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  • Source: Computers in Biology and Medicine. Unidades: FCFRP, FFCLRP

    Subjects: SÍTIOS DE LIGAÇÃO, ALCALOIDES, MICROTÚBULOS

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      FEDERICO, Leonardo Bruno et al. Potential colchicine binding site inhibitors unraveled by virtual screening, molecular dynamics and MM/PBSA. Computers in Biology and Medicine, v. 137, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104817. Acesso em: 28 abr. 2024.
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      Federico, L. B., Silva, G. M. da, Gomes, S. Q., Francischini, I. A. G., Barcelos, M. P., Santos, C. B. R. dos, et al. (2021). Potential colchicine binding site inhibitors unraveled by virtual screening, molecular dynamics and MM/PBSA. Computers in Biology and Medicine, 137, 1-11. doi:10.1016/j.compbiomed.2021.104817
    • NLM

      Federico LB, Silva GM da, Gomes SQ, Francischini IAG, Barcelos MP, Santos CBR dos, Costa LT da, Rosa JMC, Silva CHT de P da. Potential colchicine binding site inhibitors unraveled by virtual screening, molecular dynamics and MM/PBSA [Internet]. Computers in Biology and Medicine. 2021 ; 137 1-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104817
    • Vancouver

      Federico LB, Silva GM da, Gomes SQ, Francischini IAG, Barcelos MP, Santos CBR dos, Costa LT da, Rosa JMC, Silva CHT de P da. Potential colchicine binding site inhibitors unraveled by virtual screening, molecular dynamics and MM/PBSA [Internet]. Computers in Biology and Medicine. 2021 ; 137 1-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104817
  • Source: Computers in Biology and Medicine. Unidades: FMRP, ICMC

    Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, TELEMEDICINA, ÚLCERA CUTÂNEA

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      CAZZOLATO, Mirela Teixeira et al. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, v. 134, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104489. Acesso em: 28 abr. 2024.
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      Cazzolato, M. T., Ramos, J. da S., Rodrigues, L. S., Scabora, L. de C., Chino, D. Y. T., Jorge, A. E. S., et al. (2021). The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, 134, 1-17. doi:10.1016/j.compbiomed.2021.104489
    • NLM

      Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
    • Vancouver

      Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
  • Source: Computers in Biology and Medicine. Unidade: FO

    Subjects: TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DIAGNÓSTICO, TRATAMENTO DO CANAL RADICULAR

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      RABELO, Luiz Eduardo Gregoris et al. Blooming artifact reduction using different cone-beam computed tomography software to analyze endodontically treated teeth with intracanal posts. Computers in Biology and Medicine, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104679. Acesso em: 28 abr. 2024.
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      Rabelo, L. E. G., Bueno, M. dos R., Costa, M. V. C. da, Musis, C. R. de, Estrela, C. R. de A., Guedes, O. A., et al. (2021). Blooming artifact reduction using different cone-beam computed tomography software to analyze endodontically treated teeth with intracanal posts. Computers in Biology and Medicine. doi:10.1016/j.compbiomed.2021.104679
    • NLM

      Rabelo LEG, Bueno M dos R, Costa MVC da, Musis CR de, Estrela CR de A, Guedes OA, Gavini G, Estrela C. Blooming artifact reduction using different cone-beam computed tomography software to analyze endodontically treated teeth with intracanal posts [Internet]. Computers in Biology and Medicine. 2021 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104679
    • Vancouver

      Rabelo LEG, Bueno M dos R, Costa MVC da, Musis CR de, Estrela CR de A, Guedes OA, Gavini G, Estrela C. Blooming artifact reduction using different cone-beam computed tomography software to analyze endodontically treated teeth with intracanal posts [Internet]. Computers in Biology and Medicine. 2021 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104679
  • Source: Computers in Biology and Medicine. Unidades: FMRP, FFCLRP

    Subjects: RESSONÂNCIA MAGNÉTICA, ADENOMA, GLÂNDULA PITUITÁRIA, RECIDIVA LOCAL DE NEOPLASIA, APRENDIZADO COMPUTACIONAL

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      MACHADO, Leonardo Ferreira et al. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas. Computers in Biology and Medicine, v. 124, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2020.103966. Acesso em: 28 abr. 2024.
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      Machado, L. F., Elias, P. C. L., Moreira, A. C., Santos, A. C. dos, & Murta Júnior, L. O. (2020). MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas. Computers in Biology and Medicine, 124. doi:10.1016/j.compbiomed.2020.103966
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      Machado LF, Elias PCL, Moreira AC, Santos AC dos, Murta Júnior LO. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas [Internet]. Computers in Biology and Medicine. 2020 ; 124[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2020.103966
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      Machado LF, Elias PCL, Moreira AC, Santos AC dos, Murta Júnior LO. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas [Internet]. Computers in Biology and Medicine. 2020 ; 124[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2020.103966
  • Source: Computers in Biology and Medicine. Unidade: ICMC

    Subjects: PROCESSAMENTO DE IMAGENS, ANÁLISE DE SÉRIES TEMPORAIS, HISTOLOGIA

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      HUMEAU-HEURTIER, Anne e OMOTO, Ana Carolina Mieko e SILVA, Luiz Eduardo Virgilio da. Bi-dimensional multiscale entropy: relation with discrete Fourier transform and biomedical application. Computers in Biology and Medicine, v. 100, p. Se 2018, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2018.06.021. Acesso em: 28 abr. 2024.
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      Humeau-Heurtier, A., Omoto, A. C. M., & Silva, L. E. V. da. (2018). Bi-dimensional multiscale entropy: relation with discrete Fourier transform and biomedical application. Computers in Biology and Medicine, 100, Se 2018. doi:10.1016/j.compbiomed.2018.06.021
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      Humeau-Heurtier A, Omoto ACM, Silva LEV da. Bi-dimensional multiscale entropy: relation with discrete Fourier transform and biomedical application [Internet]. Computers in Biology and Medicine. 2018 ; 100 Se 2018.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2018.06.021
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      Humeau-Heurtier A, Omoto ACM, Silva LEV da. Bi-dimensional multiscale entropy: relation with discrete Fourier transform and biomedical application [Internet]. Computers in Biology and Medicine. 2018 ; 100 Se 2018.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2018.06.021
  • Source: Computers in Biology and Medicine. Unidade: IFSC

    Subjects: MICROSCOPIA, RECONHECIMENTO DE PADRÕES, CISTO ODONTOGÊNICO

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      FLORINDO, João B. e BRUNO, Odemir Martinez e LANDINI, Gabriel. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. Computers in Biology and Medicine, v. 81, p. 1-10, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.12.003. Acesso em: 28 abr. 2024.
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      Florindo, J. B., Bruno, O. M., & Landini, G. (2017). Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors. Computers in Biology and Medicine, 81, 1-10. doi:10.1016/j.compbiomed.2016.12.003
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      Florindo JB, Bruno OM, Landini G. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors [Internet]. Computers in Biology and Medicine. 2017 ; 81 1-10.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.12.003
    • Vancouver

      Florindo JB, Bruno OM, Landini G. Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors [Internet]. Computers in Biology and Medicine. 2017 ; 81 1-10.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.12.003
  • Source: Computers in Biology and Medicine. Unidades: FMRP, FFCLRP

    Subjects: BANCO DE DADOS, BIOMATERIAIS, BIOCIÊNCIAS, INFORMÁTICA MÉDICA

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      FERRETTI, Yuri et al. BioBankWarden: a web-based system to support translational cancer research by managing clinical and biomaterial data. Computers in Biology and Medicine, v. 84, p. 254-261, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2015.04.008. Acesso em: 28 abr. 2024.
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      Ferretti, Y., Miyoshi, N. S. B., Silva Júnior, W. A. da, & Felipe, J. C. (2017). BioBankWarden: a web-based system to support translational cancer research by managing clinical and biomaterial data. Computers in Biology and Medicine, 84, 254-261. doi:10.1016/j.compbiomed.2015.04.008
    • NLM

      Ferretti Y, Miyoshi NSB, Silva Júnior WA da, Felipe JC. BioBankWarden: a web-based system to support translational cancer research by managing clinical and biomaterial data [Internet]. Computers in Biology and Medicine. 2017 ; 84 254-261.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.04.008
    • Vancouver

      Ferretti Y, Miyoshi NSB, Silva Júnior WA da, Felipe JC. BioBankWarden: a web-based system to support translational cancer research by managing clinical and biomaterial data [Internet]. Computers in Biology and Medicine. 2017 ; 84 254-261.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.04.008
  • Source: Computers in Biology and Medicine. Unidade: FMRP

    Subjects: DIAGNÓSTICO POR COMPUTADOR, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, ANÁLISE ESTATÍSTICA DE DADOS, COLUNA VERTEBRAL, FRATURAS

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      FRIGHETTO-PEREIRA, Lucas et al. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, v. 73, p. 147-156, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.04.006. Acesso em: 28 abr. 2024.
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      Frighetto-Pereira, L., Rangayyan, R. M., Metzner, G. A., Azevedo-Marques, P. M. de, & Nogueira-Barbosa, M. H. (2016). Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, 73, 147-156. doi:10.1016/j.compbiomed.2016.04.006
    • NLM

      Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
    • Vancouver

      Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
  • Source: Computers in Biology and Medicine. Unidade: IFSC

    Subjects: PROCESSAMENTO DE IMAGENS, FIBRAS MUSCULARES (MORFOLOGIA), DISTROFIA MUSCULAR

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      MIAZAKI, Mauro et al. Automated high-content morphological analysis of muscle fiber histology. Computers in Biology and Medicine, v. 63, p. 28-35, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2015.04.020. Acesso em: 28 abr. 2024.
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      Miazaki, M., Viana, M. P., Yang, Z., Comin, C. H., Wang, Y., Costa, L. da F., & Xu, X. (2015). Automated high-content morphological analysis of muscle fiber histology. Computers in Biology and Medicine, 63, 28-35. doi:10.1016/j.compbiomed.2015.04.020
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      Miazaki M, Viana MP, Yang Z, Comin CH, Wang Y, Costa L da F, Xu X. Automated high-content morphological analysis of muscle fiber histology [Internet]. Computers in Biology and Medicine. 2015 ; 63 28-35.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.04.020
    • Vancouver

      Miazaki M, Viana MP, Yang Z, Comin CH, Wang Y, Costa L da F, Xu X. Automated high-content morphological analysis of muscle fiber histology [Internet]. Computers in Biology and Medicine. 2015 ; 63 28-35.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.04.020
  • Source: Computers in Biology and Medicine. Unidades: FFCLRP, ICMC

    Assunto: BANCO DE DADOS

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      TEIXEIRA, Jefferson William et al. A similarity-based data warehousing environment for medical images. Computers in Biology and Medicine, v. No 2015, p. 190-208, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2015.08.019. Acesso em: 28 abr. 2024.
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      Teixeira, J. W., Annibal, L. P., Felipe, J. C., Ciferri, R. R., & Ciferri, C. D. de A. (2015). A similarity-based data warehousing environment for medical images. Computers in Biology and Medicine, No 2015, 190-208. doi:10.1016/j.compbiomed.2015.08.019
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      Teixeira JW, Annibal LP, Felipe JC, Ciferri RR, Ciferri CD de A. A similarity-based data warehousing environment for medical images [Internet]. Computers in Biology and Medicine. 2015 ; No 2015 190-208.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.08.019
    • Vancouver

      Teixeira JW, Annibal LP, Felipe JC, Ciferri RR, Ciferri CD de A. A similarity-based data warehousing environment for medical images [Internet]. Computers in Biology and Medicine. 2015 ; No 2015 190-208.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2015.08.019
  • Source: Computers in Biology and Medicine. Unidades: ICMC, FMRP

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      BUGATTI, Pedro H et al. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles. Computers in Biology and Medicine, v. 45, p. 8-19, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2013.11.015. Acesso em: 28 abr. 2024.
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      Bugatti, P. H., Kaster, D. S., Ponciano-Silva, M., Traina Junior, C., Marques, P. M. de A., & Traina, A. J. M. (2014). PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles. Computers in Biology and Medicine, 45, 8-19. doi:10.1016/j.compbiomed.2013.11.015
    • NLM

      Bugatti PH, Kaster DS, Ponciano-Silva M, Traina Junior C, Marques PM de A, Traina AJM. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles [Internet]. Computers in Biology and Medicine. 2014 ; 45 8-19.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2013.11.015
    • Vancouver

      Bugatti PH, Kaster DS, Ponciano-Silva M, Traina Junior C, Marques PM de A, Traina AJM. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles [Internet]. Computers in Biology and Medicine. 2014 ; 45 8-19.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2013.11.015
  • Source: Computers in Biology and Medicine. Unidades: ICMC, FMRP

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      BALAN, André G. R et al. Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI. Computers in Biology and Medicine, v. 42, n. 5, p. 509-522, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2012.01.004. Acesso em: 28 abr. 2024.
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      Balan, A. G. R., Traina, A. J. M., Ribeiro, M. X., Marques, P. M. de A., & Traina Junior, C. (2012). Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI. Computers in Biology and Medicine, 42( 5), 509-522. doi:10.1016/j.compbiomed.2012.01.004
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      Balan AGR, Traina AJM, Ribeiro MX, Marques PM de A, Traina Junior C. Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI [Internet]. Computers in Biology and Medicine. 2012 ; 42( 5): 509-522.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2012.01.004
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      Balan AGR, Traina AJM, Ribeiro MX, Marques PM de A, Traina Junior C. Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI [Internet]. Computers in Biology and Medicine. 2012 ; 42( 5): 509-522.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2012.01.004
  • Source: Computers in Biology and Medicine. Unidade: IQ

    Assunto: BIOINFORMÁTICA

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      SETUBAL, João Carlos e VERJOVSKI-ALMEIDA, Sergio. Brazilian Symposium on Bioinformatics. [Editorial]. Computers in Biology and Medicine. Oxford: Instituto de Química, Universidade de São Paulo. . Acesso em: 28 abr. 2024. , 2007
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      Setubal, J. C., & Verjovski-Almeida, S. (2007). Brazilian Symposium on Bioinformatics. [Editorial]. Computers in Biology and Medicine. Oxford: Instituto de Química, Universidade de São Paulo.
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      Setubal JC, Verjovski-Almeida S. Brazilian Symposium on Bioinformatics. [Editorial]. Computers in Biology and Medicine. 2007 ; 37( 2): 113-114.[citado 2024 abr. 28 ]
    • Vancouver

      Setubal JC, Verjovski-Almeida S. Brazilian Symposium on Bioinformatics. [Editorial]. Computers in Biology and Medicine. 2007 ; 37( 2): 113-114.[citado 2024 abr. 28 ]
  • Source: Computers in Biology and Medicine. Unidade: EP

    Assunto: MODELOS MATEMÁTICOS

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      VIEIRA, M F e KOHN, André Fábio. Compartmental models of mammalian motoneurons of types S, FR and FF and their computer simulation. Computers in Biology and Medicine, v. 37, n. 6, p. 842-860, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2006.09.001. Acesso em: 28 abr. 2024.
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      Vieira, M. F., & Kohn, A. F. (2007). Compartmental models of mammalian motoneurons of types S, FR and FF and their computer simulation. Computers in Biology and Medicine, 37( 6), 842-860. doi:10.1016/j.compbiomed.2006.09.001
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      Vieira MF, Kohn AF. Compartmental models of mammalian motoneurons of types S, FR and FF and their computer simulation [Internet]. Computers in Biology and Medicine. 2007 ;37( 6): 842-860.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2006.09.001
    • Vancouver

      Vieira MF, Kohn AF. Compartmental models of mammalian motoneurons of types S, FR and FF and their computer simulation [Internet]. Computers in Biology and Medicine. 2007 ;37( 6): 842-860.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2006.09.001
  • Source: Computers in Biology and Medicine. Unidade: ICMC

    Assunto: COMPUTAÇÃO BIOINSPIRADA

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      LORENA, Ana Carolina e CARVALHO, André Carlos Ponce de Leon Ferreira de. Protein cellular localization prediction with support vector machines and decision trees. Computers in Biology and Medicine, v. 37, n. 2, p. 115-125, 2007Tradução . . Disponível em: http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235007%232007%23999629997%23639631%23FLA%23&_cdi=5007&_pubType=J&view=c&_auth=y&_acct=C000049650&_version=1&_urlVersion=0&_userid=972067&md5=400ef07aaa8e157249e221d1dfae44. Acesso em: 28 abr. 2024.
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      Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2007). Protein cellular localization prediction with support vector machines and decision trees. Computers in Biology and Medicine, 37( 2), 115-125. Recuperado de http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235007%232007%23999629997%23639631%23FLA%23&_cdi=5007&_pubType=J&view=c&_auth=y&_acct=C000049650&_version=1&_urlVersion=0&_userid=972067&md5=400ef07aaa8e157249e221d1dfae44
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      Lorena AC, Carvalho ACP de LF de. Protein cellular localization prediction with support vector machines and decision trees [Internet]. Computers in Biology and Medicine. 2007 ; 37( 2): 115-125.[citado 2024 abr. 28 ] Available from: http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235007%232007%23999629997%23639631%23FLA%23&_cdi=5007&_pubType=J&view=c&_auth=y&_acct=C000049650&_version=1&_urlVersion=0&_userid=972067&md5=400ef07aaa8e157249e221d1dfae44
    • Vancouver

      Lorena AC, Carvalho ACP de LF de. Protein cellular localization prediction with support vector machines and decision trees [Internet]. Computers in Biology and Medicine. 2007 ; 37( 2): 115-125.[citado 2024 abr. 28 ] Available from: http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235007%232007%23999629997%23639631%23FLA%23&_cdi=5007&_pubType=J&view=c&_auth=y&_acct=C000049650&_version=1&_urlVersion=0&_userid=972067&md5=400ef07aaa8e157249e221d1dfae44
  • Source: Computers in Biology and Medicine. Unidade: EESC

    Subjects: ANÁLISE DE WAVELETS, PATOLOGIA DA FALA E DA LINGUAGEM, VOZ

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      FONSECA, Everthon Silva et al. Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders. Computers in Biology and Medicine, v. 37, n. 4, p. 571-578, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2006.08.008. Acesso em: 28 abr. 2024.
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      Fonseca, E. S., Guido, R. C., Scalassara, P. R., Maciel, C. D., & Pereira, J. C. (2007). Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders. Computers in Biology and Medicine, 37( 4), 571-578. doi:10.1016/j.compbiomed.2006.08.008
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      Fonseca ES, Guido RC, Scalassara PR, Maciel CD, Pereira JC. Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders [Internet]. Computers in Biology and Medicine. 2007 ; 37( 4): 571-578.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2006.08.008
    • Vancouver

      Fonseca ES, Guido RC, Scalassara PR, Maciel CD, Pereira JC. Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders [Internet]. Computers in Biology and Medicine. 2007 ; 37( 4): 571-578.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2006.08.008
  • Source: Computers in Biology and Medicine. Unidade: IFSC

    Subjects: MORFOMETRIA, ESPERMATOZOIDES ANIMAL (MODELOS)

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      BELETTI, Marcelo Emílio e COSTA, Luciano da Fontoura e VIANA, Matheus Palhares. A spectral framework for sperm shape characterization. Computers in Biology and Medicine, v. 35, n. 6, p. 463-473, 2005Tradução . . Disponível em: https://doi.org/10.1016/s0010-4825(04)00062-9. Acesso em: 28 abr. 2024.
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      Beletti, M. E., Costa, L. da F., & Viana, M. P. (2005). A spectral framework for sperm shape characterization. Computers in Biology and Medicine, 35( 6), 463-473. doi:10.1016/s0010-4825(04)00062-9
    • NLM

      Beletti ME, Costa L da F, Viana MP. A spectral framework for sperm shape characterization [Internet]. Computers in Biology and Medicine. 2005 ; 35( 6): 463-473.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/s0010-4825(04)00062-9
    • Vancouver

      Beletti ME, Costa L da F, Viana MP. A spectral framework for sperm shape characterization [Internet]. Computers in Biology and Medicine. 2005 ; 35( 6): 463-473.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/s0010-4825(04)00062-9
  • Source: Computers in Biology and Medicine. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      BARRERA, Júnior et al. An environment for knowledge discovery in biology. Computers in Biology and Medicine, v. 34, n. 5, p. 427-447, 2004Tradução . . Disponível em: https://doi.org/10.1016/S0010-4825(03)00073-8. Acesso em: 28 abr. 2024.
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      Barrera, J., César Júnior, R. M., Ferreira, J. E., & Gubitoso, M. D. (2004). An environment for knowledge discovery in biology. Computers in Biology and Medicine, 34( 5), 427-447. doi:10.1016/S0010-4825(03)00073-8
    • NLM

      Barrera J, César Júnior RM, Ferreira JE, Gubitoso MD. An environment for knowledge discovery in biology [Internet]. Computers in Biology and Medicine. 2004 ; 34( 5): 427-447.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/S0010-4825(03)00073-8
    • Vancouver

      Barrera J, César Júnior RM, Ferreira JE, Gubitoso MD. An environment for knowledge discovery in biology [Internet]. Computers in Biology and Medicine. 2004 ; 34( 5): 427-447.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/S0010-4825(03)00073-8
  • Source: Computers in Biology and Medicine. Unidade: EP

    Assunto: BIOENGENHARIA

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      KOHN, André Fábio. Computer simulation of noise resulting from random synaptic activities. Computers in Biology and Medicine, v. 27, n. 4, p. 293-308, 1997Tradução . . Disponível em: https://doi.org/10.1016/s0010-4825(97)00024-3. Acesso em: 28 abr. 2024.
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      Kohn, A. F. (1997). Computer simulation of noise resulting from random synaptic activities. Computers in Biology and Medicine, 27( 4), 293-308. doi:10.1016/s0010-4825(97)00024-3
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      Kohn AF. Computer simulation of noise resulting from random synaptic activities [Internet]. Computers in Biology and Medicine. 1997 ; 27( 4): 293-308.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/s0010-4825(97)00024-3
    • Vancouver

      Kohn AF. Computer simulation of noise resulting from random synaptic activities [Internet]. Computers in Biology and Medicine. 1997 ; 27( 4): 293-308.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/s0010-4825(97)00024-3

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