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Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI.

, , , , , and . SITIS, page 277-283. IEEE Computer Society, (2011)

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Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation., , , , , , , , and . Med. Biol. Engineering and Computing, 56 (9): 1531-1539 (2018)Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences., , , , , , , , , and 7 other author(s). IEEE Trans. Med. Imaging, 31 (8): 1651-1660 (2012)Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies., , , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 3-11. Springer, (2021)A mutual reference shape based on information theory., , , , , , , , , and 4 other author(s). ICIP, page 887-891. IEEE, (2014)Advanced approach for PET breast cancer segmentation based on FAMIS methodology., , , , , , , and . ATSIP, page 219-224. IEEE, (2014)Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI., , , , , and . SITIS, page 277-283. IEEE Computer Society, (2011)Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks., , , , , and . CoRR, (2019)Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18F-FDG PET images sequence., , , , , , , and . Biomed. Signal Proc. and Control, (2014)Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences., , , , , , , , , and 7 other author(s). EMBC, page 2663-2666. IEEE, (2011)