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Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images.

, , , , , , , , , и . CinC, стр. 105-108. www.cinc.org, (2015)

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An inter-modality statistical shape modelling approach for the 3D segmentation of cardiac structures from magnetic resonance images.. Polytechnic University of Milan, Italy, (2016)Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden., , , , , , , и . WBIR, том 8545 из Lecture Notes in Computer Science, стр. 83-92. Springer, (2014)3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method., , , , , , , , , и 2 other автор(ы). Biomed. Signal Process. Control., (2020)A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images., , , , , , , , , и . Comput. Biol. Medicine, (2018)Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images., , , , , , , , , и . CinC, стр. 105-108. www.cinc.org, (2015)Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach., , , , , , , , и . CinC, www.cinc.org, (2016)Semi-automated Detection and Quantification of Aortic Atheromas from Three-Dimensional Transesophageal Echocardiography., , , , и . CinC, стр. 13-16. www.cinc.org, (2013)