Source: Proceedings of World Congress on Medical Physics and Biomedical Engineering. Unidade: IFSC
Assunto: CLUSTERS
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ABNT
SILVA, D. M. D. D. e VAZ, Y. e PAIVA, Fernando Fernandes. MRS data deconvolution through KBDM with multiple signal truncation and clustering: circumventing noise effects. Proceedings of World Congress on Medical Physics and Biomedical Engineering. Tradução . Cham: Springer, 2015. . Disponível em: https://doi.org/10.1007/978-3-319-19387-8_249. Acesso em: 18 maio 2024.APA
Silva, D. M. D. D., Vaz, Y., & Paiva, F. F. (2015). MRS data deconvolution through KBDM with multiple signal truncation and clustering: circumventing noise effects. In Proceedings of World Congress on Medical Physics and Biomedical Engineering. Cham: Springer. doi:10.1007/978-3-319-19387-8_249NLM
Silva DMDD, Vaz Y, Paiva FF. MRS data deconvolution through KBDM with multiple signal truncation and clustering: circumventing noise effects [Internet]. In: Proceedings of World Congress on Medical Physics and Biomedical Engineering. Cham: Springer; 2015. [citado 2024 maio 18 ] Available from: https://doi.org/10.1007/978-3-319-19387-8_249Vancouver
Silva DMDD, Vaz Y, Paiva FF. MRS data deconvolution through KBDM with multiple signal truncation and clustering: circumventing noise effects [Internet]. In: Proceedings of World Congress on Medical Physics and Biomedical Engineering. Cham: Springer; 2015. [citado 2024 maio 18 ] Available from: https://doi.org/10.1007/978-3-319-19387-8_249
