Y, W., Y, Z., SY, C., T, L., Y, L., H, F., . . . SL, W. (2025). An upfront patient selection strategy based on personalized data-driven computed tomography generation for deep inspiration breath-hold in breast radiotherapy. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 133, 104964. https://doi.org/10.1016/j.ejmp.2025.104964
Chicago Style (17th ed.) CitationY, Wang, et al. "An Upfront Patient Selection Strategy Based on Personalized Data-driven Computed Tomography Generation for Deep Inspiration Breath-hold in Breast Radiotherapy." Physica Medica : PM : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB) 133 (2025): 104964. https://doi.org/10.1016/j.ejmp.2025.104964.
MLA (9th ed.) CitationY, Wang, et al. "An Upfront Patient Selection Strategy Based on Personalized Data-driven Computed Tomography Generation for Deep Inspiration Breath-hold in Breast Radiotherapy." Physica Medica : PM : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB), vol. 133, 2025, p. 104964, https://doi.org/10.1016/j.ejmp.2025.104964.
