| For: | De Cecco CN, Schoepf UJ. Future of cardiac computed tomography. World J Radiol 2015; 7(12): 421-423 [PMID: 26753058 DOI: 10.4329/wjr.v7.i12.421] |
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| URL: | https://www.wjgnet.com/1949-8470/full/v7/i12/421.htm |
| Number | Citing Articles |
| 1 |
Damiano Caruso, Domenico De Santis, Taylor M. Duguay, Sheldon E. Litwin, Carlo N. De Cecco. CT of the Heart. Contemporary Medical Imaging 2019; doi: 10.1007/978-1-60327-237-7_12
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| 2 |
Jiří Ferda. Myocardial imaging using advanced applications of computed tomography and magnetic resonance imaging. European Journal of Radiology 2016; 85(10) doi: 10.1016/j.ejrad.2016.07.003
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| 3 |
Sophie I. Mavrogeni, Flora Bacopoulou, George Markousis-Mavrogenis, George Chrousos, Evangelia Charmandari. Cardiovascular Imaging in Obesity. Nutrients 2021; 13(3) doi: 10.3390/nu13030744
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| 4 |
Hynek Mírka, Jiří Ferda, Jan Baxa. Assessment of myocardial enhancement during coronary CT angiography in critically ill patients. European Journal of Radiology 2016; 85(10) doi: 10.1016/j.ejrad.2016.07.004
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| 5 |
Caterina B. Monti, Marina Codari, Marly van Assen, Carlo N. De Cecco, Rozemarijn Vliegenthart. Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion. Journal of Thoracic Imaging 2020; 35(Supplement 1) doi: 10.1097/RTI.0000000000000490
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