1. Cirilo, E. R., & de Bortoli, Á. L. (2006). Cubic Splines for Trachea and Bronchial Tubes Grid Generation. Semina: Ciências Exatas e Tecnológicas, 27(2), 147–155.
2. Eaton, J. W., Bateman, D., Hauberg, S., & Wehbring, R. (2022). GNU Octave version 7.1.0 manual: A high-level interactive language for numerical computations. https://www.gnu.org/software/octave/doc/v7.1.0/
3. Enjilela, E., Lee, T.-Y., Wisenberg, G., Teefy, P. J., Bagur, R., Islam, A., Hsieh, J., & So, A. (2019). CubicSpline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging. Tomography, 5, 300–307.
4. Fadnavis, S. (2014). Image interpolation techniques in digital image processing: An overview. International Journal of Engineering Research and Application, 4, 2248–962270.
5. Figliaggi, B. R. M., & Cirilo, E. R. (2021). Spline: uma ferramenta matemática. In V. P. Matias, G. S. P. Menani, A. A. Campos, & P. A. L., Fº. (Eds). Coleção de Pesquisas do Petmat (Vol. 2, pp. 164-203). Universidade Estadual de Londrina. https://www.uel.br/programas/petmat/pages/arquivos/colecao/2021_v_online_v2.pdf