Connection

Carlo De Cecco to Algorithms

Back to Details
This is a "connection" page, showing publications Carlo De Cecco has written about Algorithms.
Carlo De Cecco
Connection Strength
3.358
Algorithms
  1. Artificial intelligence in cardiac imaging: where we are and what we want. Eur Heart J. 2023 02 14; 44(7):541-543.
    View in: PubMed
    Score: 0.550
  2. Artificial intelligence in cardiac radiology. Radiol Med. 2020 Nov; 125(11):1186-1199.
    View in: PubMed
    Score: 0.466
  3. Impact of an advanced image-based monoenergetic reconstruction algorithm on coronary stent visualization using third generation dual-source dual-energy CT: a phantom study. Eur Radiol. 2016 Jun; 26(6):1871-8.
    View in: PubMed
    Score: 0.329
  4. State of the Art: Iterative CT Reconstruction Techniques. Radiology. 2015 Aug; 276(2):339-57.
    View in: PubMed
    Score: 0.326
  5. Physician preference between low-dose computed tomography with a sinogram-affirmed iterative reconstruction algorithm and routine-dose computed tomography with filtered back projection in abdominopelvic imaging. J Comput Assist Tomogr. 2013 Nov-Dec; 37(6):932-6.
    View in: PubMed
    Score: 0.289
  6. COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development. Br J Radiol. 2022 Jun 01; 95(1134):20211028.
    View in: PubMed
    Score: 0.130
  7. Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve. J Thorac Imaging. 2020 May; 35 Suppl 1:S3-S10.
    View in: PubMed
    Score: 0.113
  8. Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA. Atherosclerosis. 2020 02; 294:25-32.
    View in: PubMed
    Score: 0.111
  9. A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions. Eur Radiol. 2018 Aug; 28(8):3393-3404.
    View in: PubMed
    Score: 0.097
  10. Beam-hardening in 70-kV Coronary CT angiography: Artifact reduction using an advanced post-processing algorithm. Eur J Radiol. 2018 Apr; 101:111-117.
    View in: PubMed
    Score: 0.097
  11. State-of-the-Art Pulmonary CT Angiography for Acute Pulmonary Embolism. AJR Am J Roentgenol. 2017 Mar; 208(3):495-504.
    View in: PubMed
    Score: 0.089
  12. A noise-optimized virtual monochromatic reconstruction algorithm improves stent visualization and diagnostic accuracy for detection of in-stent re-stenosis in lower extremity run-off CT angiography. Eur Radiol. 2016 Dec; 26(12):4380-4389.
    View in: PubMed
    Score: 0.085
  13. 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: 0.083
  14. Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. Radiology. 2016 Apr; 279(1):167-74.
    View in: PubMed
    Score: 0.083
  15. Reduced radiation dose and improved image quality at cardiovascular CT angiography by automated attenuation-based tube voltage selection: intra-individual comparison. Eur Radiol. 2014 Nov; 24(11):2677-84.
    View in: PubMed
    Score: 0.076
  16. Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease. Sci Rep. 2021 05 27; 11(1):11112.
    View in: PubMed
    Score: 0.031
  17. Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis. Biomed Res Int. 2020; 2020:6649410.
    View in: PubMed
    Score: 0.030
  18. Rationale and design of the quantification of myocardial blood flow using dynamic PET/CTA-fused imagery (DEMYSTIFY) to determine physiological significance of specific coronary lesions. J Nucl Cardiol. 2020 06; 27(3):1030-1039.
    View in: PubMed
    Score: 0.028
  19. Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT. Radiology. 2019 11; 293(2):260-271.
    View in: PubMed
    Score: 0.027
  20. Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detection. Eur Radiol. 2019 Sep; 29(9):4783-4793.
    View in: PubMed
    Score: 0.026
  21. Machine learning in cardiac CT: Basic concepts and contemporary data. J Cardiovasc Comput Tomogr. 2018 May - Jun; 12(3):192-201.
    View in: PubMed
    Score: 0.025
  22. Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 2018 Jul; 288(1):64-72.
    View in: PubMed
    Score: 0.025
  23. Heavily Calcified Coronary Arteries: Advanced Calcium Subtraction Improves Luminal Visualization and Diagnostic Confidence in Dual-Energy Coronary Computed Tomography Angiography. Invest Radiol. 2018 02; 53(2):103-109.
    View in: PubMed
    Score: 0.024
  24. Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):354-359.
    View in: PubMed
    Score: 0.023
  25. Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique. AJR Am J Roentgenol. 2017 Aug; 209(2):370-379.
    View in: PubMed
    Score: 0.023
  26. CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
    View in: PubMed
    Score: 0.023
  27. CT angiography for planning transcatheter aortic valve replacement using automated tube voltage selection: Image quality and radiation exposure. Eur J Radiol. 2017 Jan; 86:276-283.
    View in: PubMed
    Score: 0.022
  28. Correction Factors for CT Coronary Artery Calcium Scoring Using Advanced Modeled Iterative Reconstruction Instead of Filtered Back Projection. Acad Radiol. 2016 12; 23(12):1480-1489.
    View in: PubMed
    Score: 0.022
  29. Dual-Energy Computed Tomography Angiography of the Lower Extremity Runoff: Impact of Noise-Optimized Virtual Monochromatic Imaging on Image Quality and Diagnostic Accuracy. Invest Radiol. 2016 Feb; 51(2):139-46.
    View in: PubMed
    Score: 0.021
  30. Quantitative evaluation of beam-hardening artefact correction in dual-energy CT myocardial perfusion imaging. Eur Radiol. 2016 Sep; 26(9):3215-22.
    View in: PubMed
    Score: 0.021
  31. Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method. Eur Radiol. 2016 May; 26(5):1503-11.
    View in: PubMed
    Score: 0.020
  32. Dual-energy CT of the pancreas: improved carcinoma-to-pancreas contrast with a noise-optimized monoenergetic reconstruction algorithm. Eur J Radiol. 2015 Nov; 84(11):2052-8.
    View in: PubMed
    Score: 0.020
  33. CT Evaluation of Small-Diameter Coronary Artery Stents: Effect of an Integrated Circuit Detector with Iterative Reconstruction. Radiology. 2015 Sep; 276(3):706-14.
    View in: PubMed
    Score: 0.020
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.