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Journal of Applied Clinical Medical Physics|November 9, 2023
Essentially unedited deep-learning-based OARs are suitable for rigorous oropharyngeal and laryngeal cancer treatment planningJihye Koo, Jimmy Caudell, Kujtim Latifi, et al.
Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery|March 17, 2016
Salivary Duct Carcinoma of the Parotid: Outcomes with a Contemporary Multidisciplinary Treatment ApproachMatthew Mifsud, Saurabh Sharma, Marino Leon, et al.
Journal of Applied Clinical Medical Physics|June 9, 2018
Practical quantification of image registration accuracy following the AAPM TG-132 report frameworkKujtim Latifi, Jimmy Caudell, Geoffrey Zhang, et al.
Journal of Applied Clinical Medical Physics|May 12, 2016
Initial evaluation of automated treatment planning softwareDawn Gintz, Kujtim Latifi, Jimmy Caudell, et al.
Journal of Applied Clinical Medical Physics|February 25, 2022
Maintaining dosimetric quality when switching to a Monte Carlo dose engine for head and neck volumetric-modulated arc therapy planningVladimir Feygelman, Kujtim Latifi, Mark Bowers, et al.
International Journal of Radiation Oncology, Biology, Physics|January 10, 2026
Phase II Prospective Trial of Personalized Radiotherapy Fractionation in Human Papillomavirus Positive Oropharyngeal CancerJimmy Caudell, Michelle Echevarria, George Yang, et al.
Bulletin of Mathematical Biology|January 18, 2024
Predicting Radiotherapy Patient Outcomes with Real-Time Clinical Data Using Mathematical ModellingAlexander P Browning, Thomas D Lewin, Ruth E Baker, et al.
Radiation Oncology (London, England)|August 1, 2015
A proliferation saturation index to predict radiation response and personalize radiotherapy fractionationSotiris Prokopiou, Eduardo G Moros, Jan Poleszczuk, et al.
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