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For: Pelgrim GJ, Das M, van Tuijl S, van Assen M, Prinzen FW, Stijnen M, Oudkerk M, Wildberger JE, Vliegenthart R. Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model. Int J Cardiovasc Imaging 2017;33:1821-30. [PMID: 28536897 DOI: 10.1007/s10554-017-1171-6] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.2] [Reference Citation Analysis]
Number Citing Articles
1 van Assen M, Duguay TM, Litwin SE, Bayer RR 2nd, Nance JW, Suranyi P, De Cecco CN, Varga-Szemes A, Jacobs BE, Johnson AA, Tesche C, Schoepf UJ. The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography. J Thorac Imaging 2021;36:345-52. [PMID: 32205821 DOI: 10.1097/RTI.0000000000000502] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Bing L, Wang W. Sparse Representation for Cardiac Electrical Activity Imaging in Magnetocardiography. j med imaging hlth inform 2021;11:2025-2032. [DOI: 10.1166/jmihi.2021.3658] [Reference Citation Analysis]
3 Seitun S, Clemente A, De Lorenzi C, Benenati S, Chiappino D, Mantini C, Sakellarios AI, Cademartiri F, Bezante GP, Porto I. Cardiac CT perfusion and FFRCTA: pathophysiological features in ischemic heart disease. Cardiovasc Diagn Ther 2020;10:1954-78. [PMID: 33381437 DOI: 10.21037/cdt-20-414] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
4 Yang MX, Xu HY, Zhang L, Chen L, Xu R, Fu H, Liu H, Li XS, Fu C, Liu KL, Li H, Zhou XY, Guo YK, Yang ZG. Myocardial perfusion assessment in the infarct core and penumbra zones in an in-vivo porcine model of the acute, sub-acute, and chronic infarction. Eur Radiol 2021;31:2798-808. [PMID: 33156386 DOI: 10.1007/s00330-020-07220-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
5 Gellner B, Xin L, Ribeiro RVP, Bissoondath V, Lu P, Adamson MB, Yu F, Paradiso E, Zu J, Simmons CA, Badiwala MV. The Implementation of an Adjustable Afterload Module for Ex Situ Heart Perfusion. Cardiovasc Eng Technol 2020;11:96-110. [PMID: 31797263 DOI: 10.1007/s13239-019-00447-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
6 van Assen M, Pelgrim GJ, De Cecco CN, Stijnen JMA, Zaki BM, Oudkerk M, Vliegenthart R, Schoepf UJ. Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging. European Journal of Radiology 2019;110:175-80. [DOI: 10.1016/j.ejrad.2018.11.029] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
7 Reiber JHC, Alaiti A, Bezerra HG, De Sutter J, Schoenhagen P, Stillman AE, Van de Veire NRL. Cardiovascular imaging 2017 in the International Journal of Cardiovascular Imaging. Int J Cardiovasc Imaging 2018;34:833-48. [DOI: 10.1007/s10554-018-1349-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]