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Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images.

, , , and . CinC, page 13-16. www.cinc.org, (2015)

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Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images., , , and . CinC, page 13-16. www.cinc.org, (2015)Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach., , , , , , , , and . CinC, www.cinc.org, (2016)3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method., , , , , , , , , and 2 other author(s). 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., , , , , , , , , and . Comput. Biol. Medicine, (2018)Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images., , , , , , , , , and . CinC, page 105-108. www.cinc.org, (2015)Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden., , , , , , , and . WBIR, volume 8545 of Lecture Notes in Computer Science, page 83-92. Springer, (2014)