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Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.

, , , , , , , , and . Comput. Methods Programs Biomed., (2016)

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Estimation of the Cardiac Ejection Fraction from image statistics., , , , , , and . ISBI, page 824-827. IEEE, (2012)Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features., , , , , , , and . IEEE Trans. Medical Imaging, 33 (2): 481-494 (2014)Global Assessment of Cardiac Function Using Image Statistics in MRI., , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 535-543. Springer, (2012)Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences., , , , , , , , and . Comput. Methods Programs Biomed., (2016)Detecting left ventricular impaired relaxation using MR imaging., , , , , , , and . BHI, page 310-313. IEEE, (2014)3D assessment of the carotid artery vessel wall volume: an imaging biomarker for diagnosis of the atherosclerotic disease., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978504. SPIE, (2016)Variational level-set segmentation and tracking of left ventricle using field prior., , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79622D. SPIE, (2011)Assessment of Regional Myocardial Function via Statistical Features in MR Images., , , , , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 107-114. Springer, (2011)