Laurence Court

Affiliations: 
Radiation Physics The University of Texas MD Anderson Cancer Center 
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"Laurence Court"
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Korte JC, Cardenas C, Hardcastle N, et al. (2021) Author Correction: Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific Reports. 11: 18908
Korte JC, Cardenas C, Hardcastle N, et al. (2021) Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific Reports. 11: 17633
Han EY, Cardenas CE, Nguyen C, et al. (2021) Clinical implementation of automated treatment planning for whole-brain radiotherapy. Journal of Applied Clinical Medical Physics
Elhalawani H, Cardenas CE, Volpe S, et al. (2021) FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. Clinical and Translational Radiation Oncology. 29: 93-101
Gronberg MP, Gay SS, Netherton TJ, et al. (2021) Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture. Medical Physics
Barua S, Elhalawani H, Volpe S, et al. (2021) Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers in Artificial Intelligence. 4: 618469
Hernandez S, Sjogreen C, Gay SS, et al. (2021) Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 90: 101907
Huang K, Rhee DJ, Ger R, et al. (2021) Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms. Journal of Applied Clinical Medical Physics
Olanrewaju A, Court LE, Zhang L, et al. (2021) Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant. Practical Radiation Oncology
Lee J, Steinmann A, Ding Y, et al. (2021) Radiomics feature robustness as measured using an MRI phantom. Scientific Reports. 11: 3973
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