LAURENCE EDWARD COURT to Tumor Burden
This is a "connection" page, showing publications LAURENCE EDWARD COURT has written about Tumor Burden.
Connection Strength
0.804
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Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models. Med Phys. 2014 May; 41(5):051705.
Score: 0.316
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A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma. Sci Rep. 2019 02 04; 9(1):1322.
Score: 0.110
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Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. Int J Radiat Oncol Biol Phys. 2018 06 01; 101(2):468-478.
Score: 0.103
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NSCLC tumor shrinkage prediction using quantitative image features. Comput Med Imaging Graph. 2016 Apr; 49:29-36.
Score: 0.088
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Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy. Med Phys. 2014 Aug; 41(8):081708.
Score: 0.080
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Experimental evaluation of the impact of different head-and-neck intensity-modulated radiation therapy planning techniques on doses to the skin and shallow targets. Int J Radiat Oncol Biol Phys. 2007 Oct 01; 69(2):607-13.
Score: 0.050
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Estimation of daily interfractional larynx residual setup error after isocentric alignment for head and neck radiotherapy: quality assurance implications for target volume and organs-at-risk margination using daily CT on- rails imaging. J Appl Clin Med Phys. 2014 Jan 08; 16(1):5108.
Score: 0.019
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Effects of respiratory motion on passively scattered proton therapy versus intensity modulated photon therapy for stage III lung cancer: are proton plans more sensitive to breathing motion? Int J Radiat Oncol Biol Phys. 2013 Nov 01; 87(3):576-82.
Score: 0.019
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Using four-dimensional computed tomography images to optimize the internal target volume when using volume-modulated arc therapy to treat moving targets. J Appl Clin Med Phys. 2012 Nov 08; 13(6):3850.
Score: 0.018