Journal of Applied Clinical Medical Physics

Displaying 1 - 4 of 4
Ma, J., Yoon, J. H., Lu, L., Yang, H., Guo, P., Yang, D., Li, J., Shen, J., Schwartz, L. H., & Zhao, B. (2024). A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning. Journal of Applied Clinical Medical Physics. Portico. https://doi.org/10.1002/acm2.14434
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Li, F., & Price, M. (2023). Commissioning of Mobius3D/FX for patient‐specific quality assurance: The CUIMC—NewYork Presbyterian Hospital experience. Journal of Applied Clinical Medical Physics, 25(2). Portico. https://doi.org/10.1002/acm2.14183
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Munbodh, R., Roth, T. M., Leonard, K. L., Court, R. C., Shukla, U., Andrea, S., Gray, M., Leichtman, G., & Klein, E. E. (2022). Real‐time analysis and display of quantitative measures to track and improve clinical workflow. Journal of Applied Clinical Medical Physics, 23(9). Portico. https://doi.org/10.1002/acm2.13610
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Lemus, O. M. D., Wang, Y., Li, F., Jambawalikar, S., Horowitz, D. P., Xu, Y., & Wuu, C. (2022). Dosimetric assessment of patient dose calculation on a deep learning‐based synthesized computed tomography image for adaptive radiotherapy. Journal of Applied Clinical Medical Physics, 23(7). Portico. https://doi.org/10.1002/acm2.13595
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