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Automatic determination of aortic compliance based on MRI and adapted curvilinear detector.

, , , and . Biomed. Signal Process. Control., (2018)

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Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla., , , , , , , , , and . IEEE Trans. Medical Imaging, 40 (1): 205-217 (2021)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)Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation., , , , , , , , and . Medical Biol. Eng. Comput., 56 (9): 1531-1539 (2018)Advanced approach for PET breast cancer segmentation based on FAMIS methodology., , , , , , , and . ATSIP, page 219-224. IEEE, (2014)Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI., , , , , , , , , and 3 other author(s). Data, 5 (4): 89 (2020)Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18F-FDG PET images sequence., , , , , , , and . Biomed. Signal Process. Control., (2014)Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks., , , , , and . CoRR, (2019)Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI., , , , , and . SITIS, page 277-283. IEEE Computer Society, (2011)Automatic determination of aortic compliance based on MRI and adapted curvilinear detector., , , and . Biomed. Signal Process. Control., (2018)Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks., , , , , and . Algorithms, 14 (8): 249 (2021)