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Cited by in F6Publishing
For: Kuder TA, Risse F, Eichinger M, Ley S, Puderbach M, Kauczor HU, Fink C. New method for 3D parametric visualization of contrast-enhanced pulmonary perfusion MRI data. Eur Radiol. 2008;18:291-297. [PMID: 17705043 DOI: 10.1007/s00330-007-0742-7] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 0.9] [Reference Citation Analysis]
Number Citing Articles
1 Zöllner FG, Daab M, Weidner M, Sommer V, Zahn K, Schaible T, Weisser G, Schoenberg SO, Neff KW, Schad LR. Semi-automatic lung segmentation of DCE-MRI data sets of 2-year old children after congenital diaphragmatic hernia repair: Initial results. Magnetic Resonance Imaging 2015;33:1345-9. [DOI: 10.1016/j.mri.2015.08.003] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
2 Biederer J, Mirsadraee S, Beer M, Molinari F, Hintze C, Bauman G, Both M, Van Beek EJ, Wild J, Puderbach M. MRI of the lung (3/3)-current applications and future perspectives. Insights Imaging 2012;3:373-86. [PMID: 22695943 DOI: 10.1007/s13244-011-0142-z] [Cited by in Crossref: 98] [Cited by in F6Publishing: 80] [Article Influence: 10.9] [Reference Citation Analysis]
3 Leutz-Schmidt P, Eichinger M, Stahl M, Sommerburg O, Biederer J, Kauczor HU, Puderbach MU, Mall MA, Wielpütz MO. Ten years of chest MRI for patients with cystic fibrosis : Translation from the bench to clinical routine. Radiologe 2019;59:10-20. [PMID: 31172247 DOI: 10.1007/s00117-019-0553-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
4 Wielpütz MO, Eichinger M, Puderbach M. Magnetic resonance imaging of cystic fibrosis lung disease. J Thorac Imaging 2013;28:151-9. [PMID: 23545948 DOI: 10.1097/RTI.0b013e31828d40d4] [Cited by in Crossref: 38] [Cited by in F6Publishing: 6] [Article Influence: 4.8] [Reference Citation Analysis]
5 Hansmann J, Apfaltrer P, Zoellner FG, Henzler T, Meyer M, Weisser G, Schoenberg SO, Attenberger UI. Correlation analysis of dual-energy CT iodine maps with quantitative pulmonary perfusion MRI. World J Radiol 2013;5:202-7. [PMID: 23805370 DOI: 10.4329/wjr.v5.i5.202] [Cited by in CrossRef: 8] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
6 Eichinger M, Heussel CP, Kauczor HU, Tiddens H, Puderbach M. Computed tomography and magnetic resonance imaging in cystic fibrosis lung disease. J Magn Reson Imaging 2010;32:1370-8. [PMID: 21105141 DOI: 10.1002/jmri.22374] [Cited by in Crossref: 50] [Cited by in F6Publishing: 41] [Article Influence: 5.0] [Reference Citation Analysis]
7 Gaass T, Bauman G, Biederer J, Hintze C, Schneider M, Dinkel J. Pulmonary perfusion imaging: Qualitative comparison of TCIR MRI and SPECT/CT in porcine lung. European Journal of Radiology 2015;84:2646-53. [DOI: 10.1016/j.ejrad.2015.08.017] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
8 Gaass T, Dinkel J, Bauman G, Zaiss M, Hintze C, Haase A, Laun F. Non-contrast-enhanced MRI of the pulmonary blood volume using two-compartment-modeled T1-relaxation. J Magn Reson Imaging 2012;36:397-404. [DOI: 10.1002/jmri.23674] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 1.2] [Reference Citation Analysis]