Connection

LAURENCE EDWARD COURT to Tomography, X-Ray Computed

This is a "connection" page, showing publications LAURENCE EDWARD COURT has written about Tomography, X-Ray Computed.
  1. Hazard testing to reduce risk in the development of automated planning tools. J Appl Clin Med Phys. 2023 Aug; 24(8):e13995.
    View in: PubMed
    Score: 0.294
  2. An Automated Treatment Planning Framework for Spinal Radiation Therapy and Vertebral-Level Second Check. Int J Radiat Oncol Biol Phys. 2022 11 01; 114(3):516-528.
    View in: PubMed
    Score: 0.279
  3. Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms. J Appl Clin Med Phys. 2021 May; 22(5):168-174.
    View in: PubMed
    Score: 0.255
  4. 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.
    View in: PubMed
    Score: 0.247
  5. Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images. Med Phys. 2020 Nov; 47(11):5592-5608.
    View in: PubMed
    Score: 0.246
  6. Automatic detection of contouring errors using convolutional neural networks. Med Phys. 2019 Nov; 46(11):5086-5097.
    View in: PubMed
    Score: 0.230
  7. Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography. Invest Radiol. 2019 05; 54(5):288-295.
    View in: PubMed
    Score: 0.224
  8. Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Phys Med Biol. 2018 11 07; 63(21):215026.
    View in: PubMed
    Score: 0.216
  9. Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. Comput Med Imaging Graph. 2018 11; 69:134-139.
    View in: PubMed
    Score: 0.214
  10. Effect of tube current on computed tomography radiomic features. Sci Rep. 2018 02 05; 8(1):2354.
    View in: PubMed
    Score: 0.205
  11. Atlas ranking and selection for automatic segmentation of the esophagus from CT scans. Phys Med Biol. 2017 Nov 14; 62(23):9140-9158.
    View in: PubMed
    Score: 0.202
  12. Harmonizing the pixel size in retrospective computed tomography radiomics studies. PLoS One. 2017; 12(9):e0178524.
    View in: PubMed
    Score: 0.200
  13. A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials. Sci Rep. 2017 07 20; 7(1):6034.
    View in: PubMed
    Score: 0.198
  14. The influence of non-rigid anatomy and patient positioning on endoscopy-CT image registration in the head and neck. Med Phys. 2017 Aug; 44(8):4159-4168.
    View in: PubMed
    Score: 0.196
  15. The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking. PLoS One. 2017; 12(5):e0177886.
    View in: PubMed
    Score: 0.195
  16. NSCLC tumor shrinkage prediction using quantitative image features. Comput Med Imaging Graph. 2016 Apr; 49:29-36.
    View in: PubMed
    Score: 0.176
  17. Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based Metrics. Int J Radiat Oncol Biol Phys. 2016 Feb 01; 94(2):385-93.
    View in: PubMed
    Score: 0.175
  18. Preliminary investigation into sources of uncertainty in quantitative imaging features. Comput Med Imaging Graph. 2015 Sep; 44:54-61.
    View in: PubMed
    Score: 0.170
  19. 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.
    View in: PubMed
    Score: 0.158
  20. A technique to use CT images for in vivo detection and quantification of the spatial distribution of radiation-induced esophagitis. J Appl Clin Med Phys. 2013 May 06; 14(3):4195.
    View in: PubMed
    Score: 0.148
  21. Evaluation of a contour-alignment technique for CT-guided prostate radiotherapy: an intra- and interobserver study. Int J Radiat Oncol Biol Phys. 2004 Jun 01; 59(2):412-8.
    View in: PubMed
    Score: 0.080
  22. SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy. Comput Med Imaging Graph. 2024 Apr; 113:102353.
    View in: PubMed
    Score: 0.078
  23. Fully-automated, CT-only GTV contouring for palliative head and neck radiotherapy. Sci Rep. 2023 12 09; 13(1):21797.
    View in: PubMed
    Score: 0.077
  24. Automatic registration of the prostate for computed-tomography-guided radiotherapy. Med Phys. 2003 Oct; 30(10):2750-7.
    View in: PubMed
    Score: 0.076
  25. Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information. J Appl Clin Med Phys. 2023 Jul; 24(7):e13956.
    View in: PubMed
    Score: 0.073
  26. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy. Med Phys. 2023 Jul; 50(7):4399-4414.
    View in: PubMed
    Score: 0.073
  27. Customizable landmark-based field aperture design for automated whole-brain radiotherapy treatment planning. J Appl Clin Med Phys. 2023 Mar; 24(3):e13839.
    View in: PubMed
    Score: 0.072
  28. Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images. Sci Rep. 2022 Nov 09; 12(1):19093.
    View in: PubMed
    Score: 0.071
  29. Automatic contouring QA method using a deep learning-based autocontouring system. J Appl Clin Med Phys. 2022 Aug; 23(8):e13647.
    View in: PubMed
    Score: 0.069
  30. VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Med Image Anal. 2021 10; 73:102166.
    View in: PubMed
    Score: 0.065
  31. Tissue-specific deformable image registration using a spatial-contextual filter. Comput Med Imaging Graph. 2021 03; 88:101849.
    View in: PubMed
    Score: 0.063
  32. Multi-energy computed tomography and material quantification: Current barriers and opportunities for advancement. Med Phys. 2020 Aug; 47(8):3752-3771.
    View in: PubMed
    Score: 0.061
  33. Technical Note: Proof of concept for radiomics-based quality assurance for computed tomography. J Appl Clin Med Phys. 2019 Nov; 20(11):199-205.
    View in: PubMed
    Score: 0.058
  34. 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.
    View in: PubMed
    Score: 0.057
  35. Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics. J Glob Oncol. 2019 01; 5:1-9.
    View in: PubMed
    Score: 0.055
  36. Calibration strategies for use of the nanoDot OSLD in CT applications. J Appl Clin Med Phys. 2019 Jan; 20(1):331-339.
    View in: PubMed
    Score: 0.054
  37. Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Sci Rep. 2018 08 29; 8(1):13047.
    View in: PubMed
    Score: 0.053
  38. Development of an Immune-Pathology Informed Radiomics Model for Non-Small Cell Lung Cancer. Sci Rep. 2018 01 31; 8(1):1922.
    View in: PubMed
    Score: 0.051
  39. Developing and characterizing MR/CT-visible materials used in QA phantoms for MRgRT systems. Med Phys. 2018 Feb; 45(2):773-782.
    View in: PubMed
    Score: 0.051
  40. Development and Validation of a Predictive Radiomics Model for Clinical Outcomes in Stage I Non-small Cell Lung Cancer. Int J Radiat Oncol Biol Phys. 2018 11 15; 102(4):1090-1097.
    View in: PubMed
    Score: 0.051
  41. Development and validation of a rapid and robust method to determine visceral adipose tissue volume using computed tomography images. PLoS One. 2017; 12(8):e0183515.
    View in: PubMed
    Score: 0.050
  42. Precision of quantitative computed tomography texture analysis using image filtering: A phantom study for scanner variability. Medicine (Baltimore). 2017 May; 96(21):e6993.
    View in: PubMed
    Score: 0.049
  43. Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer. Sci Rep. 2017 04 03; 7(1):588.
    View in: PubMed
    Score: 0.048
  44. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med Phys. 2017 Mar; 44(3):1050-1062.
    View in: PubMed
    Score: 0.048
  45. Reproducibility of patient setup in the seated treatment position: A novel treatment chair design. J Appl Clin Med Phys. 2017 Jan; 18(1):223-229.
    View in: PubMed
    Score: 0.048
  46. Cardiac atlas development and validation for automatic segmentation of cardiac substructures. Radiother Oncol. 2017 01; 122(1):66-71.
    View in: PubMed
    Score: 0.047
  47. Learning anatomy changes from patient populations to create artificial CT images for voxel-level validation of deformable image registration. J Appl Clin Med Phys. 2016 01 08; 17(1):246-258.
    View in: PubMed
    Score: 0.044
  48. Measuring Computed Tomography Scanner Variability of Radiomics Features. Invest Radiol. 2015 Nov; 50(11):757-65.
    View in: PubMed
    Score: 0.044
  49. 3D-Printed Small-Animal Immobilizer for Use in Preclinical Radiotherapy. J Am Assoc Lab Anim Sci. 2015 Sep; 54(5):545-8.
    View in: PubMed
    Score: 0.043
  50. Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors. Radiology. 2016 Jan; 278(1):214-22.
    View in: PubMed
    Score: 0.043
  51. Characterization of the nanoDot OSLD dosimeter in CT. Med Phys. 2015 Apr; 42(4):1797-807.
    View in: PubMed
    Score: 0.042
  52. IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics. Med Phys. 2015 Mar; 42(3):1341-53.
    View in: PubMed
    Score: 0.042
  53. 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.
    View in: PubMed
    Score: 0.041
  54. Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2014 Nov 15; 90(4):834-42.
    View in: PubMed
    Score: 0.041
  55. Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy. Med Phys. 2014 Aug; 41(8):081708.
    View in: PubMed
    Score: 0.040
  56. Motion of the esophagus due to cardiac motion. PLoS One. 2014; 9(2):e89126.
    View in: PubMed
    Score: 0.039
  57. 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.
    View in: PubMed
    Score: 0.039
  58. High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images. Med Phys. 2013 Dec; 40(12):121916.
    View in: PubMed
    Score: 0.038
  59. A novel dose-based positioning method for CT image-guided proton therapy. Med Phys. 2013 May; 40(5):051714.
    View in: PubMed
    Score: 0.037
  60. Absorbed radiation dose in radiosensitive organs during coronary CT angiography using 320-MDCT: effect of maximum tube voltage and heart rate variations. AJR Am J Roentgenol. 2010 Dec; 195(6):1347-54.
    View in: PubMed
    Score: 0.031
  61. Use of a realistic breathing lung phantom to evaluate dose delivery errors. Med Phys. 2010 Nov; 37(11):5850-7.
    View in: PubMed
    Score: 0.031
  62. An automatic CT-guided adaptive radiation therapy technique by online modification of multileaf collimator leaf positions for prostate cancer. Int J Radiat Oncol Biol Phys. 2005 May 01; 62(1):154-63.
    View in: PubMed
    Score: 0.021
  63. [Comparison of imaging modalities for image-guided radiation therapy (IGRT)]. Nihon Igaku Hoshasen Gakkai Zasshi. 2003 Nov; 63(9):574-8.
    View in: PubMed
    Score: 0.019
  64. Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy. J Appl Clin Med Phys. 2023 Dec; 24(12):e14131.
    View in: PubMed
    Score: 0.019
  65. Parametric delineation uncertainties contouring (PDUC) modeling on CT scans of prostate cancer patients. J Appl Clin Med Phys. 2023 Jul; 24(7):e13970.
    View in: PubMed
    Score: 0.018
  66. Evaluation of repeatability and reproducibility of radiomic features produced by the fan-beam kV-CT on a novel ring gantry-based PET/CT linear accelerator. Med Phys. 2023 Jun; 50(6):3719-3725.
    View in: PubMed
    Score: 0.018
  67. Training deep-learning segmentation models from severely limited data. Med Phys. 2021 Apr; 48(4):1697-1706.
    View in: PubMed
    Score: 0.016
  68. Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer. Int J Radiat Oncol Biol Phys. 2021 03 15; 109(4):1096-1110.
    View in: PubMed
    Score: 0.016
  69. 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.
    View in: PubMed
    Score: 0.014
  70. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS One. 2018; 13(10):e0205003.
    View in: PubMed
    Score: 0.013
  71. The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis. Med Phys. 2018 Nov; 45(11):5317-5324.
    View in: PubMed
    Score: 0.013
  72. A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning. Phys Med Biol. 2018 04 05; 63(8):085005.
    View in: PubMed
    Score: 0.013
  73. Statistical modeling approach to quantitative analysis of interobserver variability in breast contouring. Int J Radiat Oncol Biol Phys. 2014 May 01; 89(1):214-21.
    View in: PubMed
    Score: 0.010
  74. 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.
    View in: PubMed
    Score: 0.009
  75. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy. Pract Radiat Oncol. 2014 Jan-Feb; 4(1):e31-7.
    View in: PubMed
    Score: 0.009
  76. Fast range-corrected proton dose approximation method using prior dose distribution. Phys Med Biol. 2012 Jun 07; 57(11):3555-69.
    View in: PubMed
    Score: 0.009
  77. A three-dimensional computed tomography-assisted Monte Carlo evaluation of ovoid shielding on the dose to the bladder and rectum in intracavitary radiotherapy for cervical cancer. Int J Radiat Oncol Biol Phys. 2005 Oct 01; 63(2):615-21.
    View in: PubMed
    Score: 0.005
  78. 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.
    View in: PubMed
    Score: 0.005
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.