Connection

Rozemarijn Vliegenthart to Radiographic Image Interpretation, Computer-Assisted

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This is a "connection" page, showing publications Rozemarijn Vliegenthart has written about Radiographic Image Interpretation, Computer-Assisted.
Rozemarijn Vliegenthart
Connection Strength
3.130
Radiographic Image Interpretation, Computer-Assisted
  1. Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion. J Thorac Imaging. 2020 May; 35 Suppl 1:S58-S65.
    View in: PubMed
    Score: 0.561
  2. Dual-energy CT of the heart. AJR Am J Roentgenol. 2012 Nov; 199(5 Suppl):S54-63.
    View in: PubMed
    Score: 0.334
  3. Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients. Br J Radiol. 2023 Mar 01; 96(1144):20220709.
    View in: PubMed
    Score: 0.170
  4. Feasibility of bronchial wall quantification in low- and ultralow-dose third-generation dual-source CT: An ex vivo lung study. J Appl Clin Med Phys. 2020 Oct; 21(10):218-226.
    View in: PubMed
    Score: 0.144
  5. Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium. Eur J Radiol. 2020 Aug; 129:109114.
    View in: PubMed
    Score: 0.141
  6. Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study. Br J Radiol. 2020 Jan; 93(1105):20181019.
    View in: PubMed
    Score: 0.136
  7. Dose reduction techniques in coronary calcium scoring: The effect of iterative reconstruction combined with low tube voltage on calcium scores in a thoracic phantom. Eur J Radiol. 2017 Aug; 93:229-235.
    View in: PubMed
    Score: 0.115
  8. Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model. Int J Cardiovasc Imaging. 2017 Nov; 33(11):1821-1830.
    View in: PubMed
    Score: 0.114
  9. Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr. 2017 Mar - Apr; 11(2):141-147.
    View in: PubMed
    Score: 0.112
  10. Feasibility of spectral shaping for detection and quantification of coronary calcifications in ultra-low dose CT. Eur Radiol. 2017 May; 27(5):2047-2054.
    View in: PubMed
    Score: 0.109
  11. Approaches to ultra-low radiation dose coronary artery calcium scoring based on 3rd generation dual-source CT: A phantom study. Eur J Radiol. 2016 Jan; 85(1):39-47.
    View in: PubMed
    Score: 0.103
  12. Correction of lumen contrast-enhancement influence on non-calcified coronary atherosclerotic plaque quantification on CT. Int J Cardiovasc Imaging. 2015 Feb; 31(2):429-36.
    View in: PubMed
    Score: 0.096
  13. Comparison of the effect of iterative reconstruction versus filtered back projection on cardiac CT postprocessing. Acad Radiol. 2014 Mar; 21(3):318-24.
    View in: PubMed
    Score: 0.090
  14. Iterative image reconstruction techniques for CT coronary artery calcium quantification: comparison with traditional filtered back projection in vitro and in vivo. Radiology. 2014 Feb; 270(2):387-93.
    View in: PubMed
    Score: 0.090
  15. Quantitative analysis of coronary plaque composition by dual-source CT in patients with acute non-ST-elevation myocardial infarction compared to patients with stable coronary artery disease correlated with virtual histology intravascular ultrasound. Acad Radiol. 2013 Aug; 20(8):995-1003.
    View in: PubMed
    Score: 0.088
  16. Cardiovascular CT angiography in neonates and children: image quality and potential for radiation dose reduction with iterative image reconstruction techniques. Eur Radiol. 2013 May; 23(5):1306-15.
    View in: PubMed
    Score: 0.084
  17. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters. AJR Am J Roentgenol. 2012 Dec; 199(6):1241-6.
    View in: PubMed
    Score: 0.084
  18. Radiation dose and image quality at high-pitch CT angiography of the aorta: intraindividual and interindividual comparisons with conventional CT angiography. AJR Am J Roentgenol. 2012 Dec; 199(6):1402-9.
    View in: PubMed
    Score: 0.084
  19. Interplatform reproducibility of CT coronary calcium scoring software. Radiology. 2012 Oct; 265(1):70-7.
    View in: PubMed
    Score: 0.082
  20. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT. Radiology. 2022 04; 303(1):202-212.
    View in: PubMed
    Score: 0.040
  21. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2022 Jan; 146:110068.
    View in: PubMed
    Score: 0.039
  22. Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput Methods Programs Biomed. 2020 Nov; 196:105620.
    View in: PubMed
    Score: 0.035
  23. Characteristics of new solid nodules detected in incidence screening rounds of low-dose CT lung cancer screening: the NELSON study. Thorax. 2018 08; 73(8):741-747.
    View in: PubMed
    Score: 0.030
  24. Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening. Br J Radiol. 2018 Oct; 91(1090):20170405.
    View in: PubMed
    Score: 0.030
  25. Disagreement of diameter and volume measurements for pulmonary nodule size estimation in CT lung cancer screening. Thorax. 2018 08; 73(8):779-781.
    View in: PubMed
    Score: 0.029
  26. Coronary artery calcium in breast cancer survivors after radiation therapy. Int J Cardiovasc Imaging. 2017 Sep; 33(9):1425-1431.
    View in: PubMed
    Score: 0.028
  27. Accuracy of Noncontrast Quiescent-Interval Single-Shot Lower Extremity MR Angiography Versus CT?Angiography for Diagnosis of Peripheral Artery Disease: Comparison With Digital Subtraction Angiography. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1116-1124.
    View in: PubMed
    Score: 0.028
  28. Radiation Dose Levels of Retrospectively ECG-Gated Coronary CT Angiography Using 70-kVp Tube Voltage in Patients with High or Irregular Heart Rates. Acad Radiol. 2017 01; 24(1):30-37.
    View in: PubMed
    Score: 0.028
  29. Coronary calcium scores are systematically underestimated at a large chest size: A multivendor phantom study. J Cardiovasc Comput Tomogr. 2015 Sep-Oct; 9(5):415-21.
    View in: PubMed
    Score: 0.025
  30. Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: results of the NELSON study. J Cardiovasc Comput Tomogr. 2015 Jan-Feb; 9(1):50-7.
    View in: PubMed
    Score: 0.024
  31. Closing in on the K edge: coronary CT angiography at 100, 80, and 70 kV-initial comparison of a second- versus a third-generation dual-source CT system. Radiology. 2014 Nov; 273(2):373-82.
    View in: PubMed
    Score: 0.023
  32. Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study. Eur Radiol. 2013 Jan; 23(1):139-47.
    View in: PubMed
    Score: 0.020
  33. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial. Eur J Radiol. 2008 Nov; 68(2):347-52.
    View in: PubMed
    Score: 0.015
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