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The Influence of the analysis technique on estimating liver iron overload using magnetic resonance imaging T2∗ quantification.

, , and . EMBC, page 4639-4642. IEEE, (2014)

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A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images., , , , , , , , , and 4 other author(s). Medical Image Anal., 18 (1): 50-62 (2014)Hybrid intensity- and phase- based optical flow tracking of tagged MRI., , and . EMBC, page 1059-1062. IEEE, (2014)The Influence of the analysis technique on estimating liver iron overload using magnetic resonance imaging T2∗ quantification., , and . EMBC, page 4639-4642. IEEE, (2014)Greedy framework for optical flow tracking of myocardium contours., , and . IET Image Process., 8 (4): 207-212 (2014)Tag removal in cardiac tagged MRI images using coupled dictionary learning., , , and . EMBC, page 7921-7924. IEEE, (2015)Estimation of the myocardium rotation from standard cine Magnetic Resonance Imaging sequences., , , and . ICASSP, page 1023-1026. IEEE, (2013)A general framework for hepatic iron overload quantification using MRI., and . Digit. Signal Process., (2023)Evaluation of myocardial strain using bandpass optical flow. Comparison to harmonic phase analysis., , and . ISBI, page 1316-1319. IEEE, (2015)Automatic synthesis of cine viability MRI images for evaluation of coronary heart disease., , , , , and . EMBC, page 5117-5120. IEEE, (2014)Accurate estimation of the myocardium global function from reduced magnetic resonance image acquisitions., , and . EMBC, page 6728-6731. IEEE, (2014)