Radiotherapy Physics and Technology

Displaying 1 - 16 of 16CSV
Valencia Lozano, I., Buss, E., Spina, C. S., Horowitz, D. P., Kachnic, L. A., Price, M., Wang, Y., & Munbodh, R. (2025). Quantification and dosimetric impact of intra‐fractional bladder changes during CBCT‐guided online adaptive radiotherapy for pelvic cancer treatments. Journal of Applied Clinical Medical Physics. Portico. https://doi.org/10.1002/acm2.70074
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Tan, W., Wang, Z., Zeng, X., Boccia, A., Wang, X., Li, Y., Li, Y., Fung, E. K., Qi, J., Zeng, T., Gupta, A., & Goldan, A. H. (2024). High‐resolution motion compensation for brain PET imaging using real‐time electromagnetic motion tracking. Medical Physics. Portico. https://doi.org/10.1002/mp.17437
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Lee, A., Pasetsky, J., Lavrova, E., Wang, Y.-F., Sedor, G., Li, F. L., Gallitto, M., Garrett, M., Elliston, C., Price, M., Kachnic, L. A., & Horowitz, D. P. (2024). CT-guided online adaptive stereotactic body radiotherapy for pancreas ductal adenocarcinoma: Dosimetric and initial clinical experience. Clinical and Translational Radiation Oncology, 48, 100813. https://doi.org/10.1016/j.ctro.2024.100813
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Rayn, K., Magliari, A., Clark, R., Rana, O., Moore, K., & Ray, X. (2024). Using Scorecards to Tune Ethos Directive Templates: An Adaptive Radiation Therapy Individualized Approach-Cervix Dosimetric Planning Study. Advances in Radiation Oncology, 9(8), 101550. https://doi.org/10.1016/j.adro.2024.101550
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Sidhu, M. S., Gokhroo, G., Mulinti, S., Pati, M. B., Murali, M., Gupta, V., Chaudhari, S., Rayn, K., & Beriwal, S. (2024). Pilot study of radiation oncology peer review in low middle income country (LMIC) through cloud-based platform. Journal of Cancer Research and Therapeutics, 20(5), 1591–1594. https://doi.org/10.4103/jcrt.jcrt_1697_23
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Wang, Y.-F., Price, M. J., Elliston, C. D., Munbodh, R., Spina, C. S., Horowitz, D. P., & Kachnic, L. A. (2024). Enhancing Safety in AI-Driven Cone Beam CT-based Online Adaptive Radiation Therapy: Development and Implementation of an Interdisciplinary Workflow. Advances in Radiation Oncology, 9(3), 101399. https://doi.org/10.1016/j.adro.2023.101399
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Rayn, K., Clark, R., Magliari, A., Jeffers, B., Lavrova, E., Lozano, I. V., Price, M. J., Rosa, L., & Horowitz, D. P. (2023). Scorecards: Quantifying Dosimetric Plan Quality in Pancreatic Ductal Adenocarcinoma Stereotactic Body Radiation Therapy. Advances in Radiation Oncology, 8(6), 101295. https://doi.org/10.1016/j.adro.2023.101295
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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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Elliston, C., Rahman, M., Sloop, A., Wang, Y. F., Xu, Y., Zhang, R., Adamovics, J. A., & Wuu, C. S. (2023). 3D Dosimetry for Electron Flash Radiotherapy: Assessment of Radiochromic Dosimeter Phantoms with Optical CT Scanning as a 3D Dosimetry System. International Journal of Radiation Oncology*Biology*Physics, 117(2), S142. https://doi.org/10.1016/j.ijrobp.2023.06.553
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Rayn, K., Gupta, V., Mulinti, S., Clark, R., Magliari, A., Chaudhari, S., Gokhroo, G., & Beriwal, S. (2023). Evaluation of a Deep Image to Image Network (DI2IN) Auto-Segmentation Algorithm across a Network of Cancer Centers. International Journal of Radiation Oncology*Biology*Physics, 117(2), e711. https://doi.org/10.1016/j.ijrobp.2023.06.2209
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Yu, J. B., Kinslow, C. J., Cheng, S. K., Ellis, R. J., & Horowitz, D. P. (2023). National Patterns of Early Adoption of Magnetic Resonance Imaging–Guided Linear Accelerators in 2018 to 2019. Advances in Radiation Oncology, 8(3), 101167. https://doi.org/10.1016/j.adro.2022.101167
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Shuryak, I., Slaba, T. C., Plante, I., Poignant, F., Blattnig, S. R., & Brenner, D. J. (2022). A practical approach for continuous in situ characterization of radiation quality factors in space. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-04937-1
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Gallitto, M., Savacool, M., Lee, A., Wang, T. J. C., & Sisti, M. B. (2022). Feasibility of fractionated gamma knife radiosurgery in the management of newly diagnosed Glioblastoma. BMC Cancer, 22(1). https://doi.org/10.1186/s12885-022-10162-w
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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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SAYAN, M., YEHIA, Z. A., JAN, I., GUPTA, A., VERGALASOVA, I., REVIELLO, M., KUMAR, S., HAFFTY, B., & OHRI, N. (2021). Adaptive Lumpectomy Boost Planning Can Reduce Normal Tissue Exposure in Patients Receiving Hypofractionated Whole Breast Irradiation. Anticancer Research, 42(1), 53–57. https://doi.org/10.21873/anticanres.15456
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