Co-Authors
This is a "connection" page, showing publications co-authored by ADAM S GARDEN and LAURENCE EDWARD COURT.
Connection Strength
1.687
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Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans. Pract Radiat Oncol. 2023 May-Jun; 13(3):e282-e291.
Score: 0.218
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Knowledge-based planning for the radiation therapy treatment plan quality assurance for patients with head and neck cancer. J Appl Clin Med Phys. 2022 Jun; 23(6):e13614.
Score: 0.207
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Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach. Int J Radiat Oncol Biol Phys. 2021 03 01; 109(3):801-812.
Score: 0.186
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Automatic detection of contouring errors using convolutional neural networks. Med Phys. 2019 Nov; 46(11):5086-5097.
Score: 0.173
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Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Phys Med Biol. 2018 11 07; 63(21):215026.
Score: 0.163
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Atlas ranking and selection for automatic segmentation of the esophagus from CT scans. Phys Med Biol. 2017 Nov 14; 62(23):9140-9158.
Score: 0.152
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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: 0.121
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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: 0.119
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A Visualization and Radiation Treatment Plan Quality Scoring Method for Triage in a Population-Based Context. Adv Radiat Oncol. 2024 Aug; 9(8):101533.
Score: 0.059
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Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy. Phys Imaging Radiat Oncol. 2024 Jan; 29:100540.
Score: 0.058
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18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. Clin Transl Radiat Oncol. 2021 Jul; 29:93-101.
Score: 0.049
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Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms. Radiology. 2015 Mar; 274(3):752-63.
Score: 0.031
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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: 0.029
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Anisotropic margin expansions in 6 anatomic directions for oropharyngeal image guided radiation therapy. Int J Radiat Oncol Biol Phys. 2013 Nov 01; 87(3):596-601.
Score: 0.028
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Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy. Pract Radiat Oncol. 2014 Jan-Feb; 4(1):e31-7.
Score: 0.028
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WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model. Med Phys. 2012 Jun; 39(6Part27):3961.
Score: 0.026
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Assessment of shoulder position variation and its impact on IMRT and VMAT doses for head and neck cancer. Radiat Oncol. 2012 Feb 08; 7:19.
Score: 0.025
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Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system. Int J Radiat Oncol Biol Phys. 2004 Jul 15; 59(4):960-70.
Score: 0.015