APA (7th ed.) Citation

B, Y., H, P., X, X., C, Z., & A, W. (2026). Fast fourier transform based spectral features for machine learning prediction of gamma passing rates in virtual VMAT PSQA: A feasibility study. Journal of applied clinical medical physics, 27(9), e70772. https://doi.org/10.1002/acm2.70772

Chicago Style (17th ed.) Citation

B, Yan, Peng H, Xue X, Zheng C, and Wu A. "Fast Fourier Transform Based Spectral Features for Machine Learning Prediction of Gamma Passing Rates in Virtual VMAT PSQA: A Feasibility Study." Journal of Applied Clinical Medical Physics 27, no. 9 (2026): e70772. https://doi.org/10.1002/acm2.70772.

MLA (9th ed.) Citation

B, Yan, et al. "Fast Fourier Transform Based Spectral Features for Machine Learning Prediction of Gamma Passing Rates in Virtual VMAT PSQA: A Feasibility Study." Journal of Applied Clinical Medical Physics, vol. 27, no. 9, 2026, p. e70772, https://doi.org/10.1002/acm2.70772.