H, T., C, P., Y, Z., C, H., Y, D., C, L., . . . S, W. (2023). An applicability study of rapid artificial intelligence-assisted compressed sensing (ACS) in anal fistula magnetic resonance imaging. Heliyon, 10(1), e22817. https://doi.org/10.1016/j.heliyon.2023.e22817
Chicago Style (17th ed.) CitationH, Tang, Peng C, Zhao Y, Hu C, Dai Y, Lin C, Cai L, Wang Q, and Wang S. "An Applicability Study of Rapid Artificial Intelligence-assisted Compressed Sensing (ACS) in Anal Fistula Magnetic Resonance Imaging." Heliyon 10, no. 1 (2023): e22817. https://doi.org/10.1016/j.heliyon.2023.e22817.
MLA (9th ed.) CitationH, Tang, et al. "An Applicability Study of Rapid Artificial Intelligence-assisted Compressed Sensing (ACS) in Anal Fistula Magnetic Resonance Imaging." Heliyon, vol. 10, no. 1, 2023, p. e22817, https://doi.org/10.1016/j.heliyon.2023.e22817.