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Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.

, , , , , , , , , , , , , , , , , , и . Medical Image Anal., (2016)

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Alba Fishta

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Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation., , , , , и . IEEE Trans. Biomed. Eng., 61 (11): 2740-2748 (2014)High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort., , , , , , , , и . CoRR, (2019)Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images., , , , , , , , , и 9 other автор(ы). Medical Image Anal., (2016)Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts., , , , , , и . STACOM, том 8896 из Lecture Notes in Computer Science, стр. 257-264. Springer, (2014)Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling., , , , , и . IPMI, том 9123 из Lecture Notes in Computer Science, стр. 98-109. Springer, (2015)Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors., , , , , и . IEEE Trans. Med. Imaging, 33 (4): 882-890 (2014)Conical deformable model for myocardial segmentation in late-enhanced MRI., , , и . ISBI, стр. 270-273. IEEE, (2012)An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model., , , , , , и . IEEE Trans. Med. Imaging, 35 (3): 845-859 (2016)Healthy and Scar Myocardial Tissue Classification in DE-MRI., , , и . STACOM, том 7746 из Lecture Notes in Computer Science, стр. 62-70. Springer, (2012)Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation., , , , , , , , , и 6 other автор(ы). Medical Image Anal., (2019)