Co-Authors
This is a "connection" page, showing publications co-authored by LAURENCE EDWARD COURT and DENNIS STEPHEN MACKIN.
Connection Strength
4.419
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Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography. Invest Radiol. 2019 05; 54(5):288-295.
Score: 0.709
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Effect of tube current on computed tomography radiomic features. Sci Rep. 2018 02 05; 8(1):2354.
Score: 0.651
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Correction: Harmonizing the pixel size in retrospective computed tomography radiomics studies. PLoS One. 2018; 13(1):e0191597.
Score: 0.648
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Harmonizing the pixel size in retrospective computed tomography radiomics studies. PLoS One. 2017; 12(9):e0178524.
Score: 0.634
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Radiomics feature robustness as measured using an MRI phantom. Sci Rep. 2021 02 17; 11(1):3973.
Score: 0.201
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Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PLoS One. 2019; 14(9):e0222509.
Score: 0.182
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Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. Comput Med Imaging Graph. 2018 11; 69:134-139.
Score: 0.170
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Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Sci Rep. 2018 08 29; 8(1):13047.
Score: 0.169
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Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics. J Vis Exp. 2018 01 08; (131).
Score: 0.162
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Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer. Sci Rep. 2017 04 03; 7(1):588.
Score: 0.153
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Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? Med Phys. 2015 Dec; 42(12):6784-97.
Score: 0.140
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Measuring Computed Tomography Scanner Variability of Radiomics Features. Invest Radiol. 2015 Nov; 50(11):757-65.
Score: 0.139
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Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Front Artif Intell. 2021; 4:618469.
Score: 0.051
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Technical Note: Proof of concept for radiomics-based quality assurance for computed tomography. J Appl Clin Med Phys. 2019 Nov; 20(11):199-205.
Score: 0.046
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Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clin Cancer Inform. 2019 02; 3:1-9.
Score: 0.044
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Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS One. 2018; 13(10):e0205003.
Score: 0.043
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Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Front Oncol. 2018; 8:294.
Score: 0.042
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Correction to: A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images. Eur Radiol. 2018 08; 28(8):3570-3571.
Score: 0.042
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Prognostic value of combining a quantitative image feature from positron emission tomography with clinical factors in oligometastatic non-small cell lung cancer. Radiother Oncol. 2018 02; 126(2):362-367.
Score: 0.040
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A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images. Eur Radiol. 2018 Jun; 28(6):2255-2263.
Score: 0.040
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Cost-effective immobilization for whole brain radiation therapy. J Appl Clin Med Phys. 2017 Jul; 18(4):116-122.
Score: 0.039
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Precision of quantitative computed tomography texture analysis using image filtering: A phantom study for scanner variability. Medicine (Baltimore). 2017 May; 96(21):e6993.
Score: 0.039
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Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med Phys. 2017 Mar; 44(3):1050-1062.
Score: 0.038