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Near-automated 3D segmentation of left and right ventricles on magnetic resonance images.

, , , , , and . ISPA, page 522-527. IEEE, (2013)

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Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets., , , , , , and . CinC, page 627-630. www.cinc.org, (2013)Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography., , , , and . IEEE J. Biomed. Health Informatics, 24 (4): 994-1003 (2020)Simultaneous segmentation of all four chambers in cardiac ultrasound images., , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (3): 425-432 (May 2023)Tracking of Left Ventricular Long Axis From Real-Time Three-Dimensional Echocardiography Using Optical Flow Techniques., , , , and . IEEE Trans. Information Technology in Biomedicine, 10 (1): 174-181 (2006)Near-automated 3D segmentation of left and right ventricles on magnetic resonance images., , , , , and . ISPA, page 522-527. IEEE, (2013)Fully automated assessment of left ventricular volumes and mass from cardiac magnetic resonance images., , and . EMBC, page 1079-1082. IEEE, (2014)Comparison of 2D and 3D Echocardiographic Measurement of Mitral-Aortic Angle., , , and . CinC, page 253-256. www.cinc.org, (2013)3D Evaluation of Tricuspid Annulus Morphology in Patients with Pulmonary Hypertension., , , , and . CinC, page 241-244. www.cinc.org, (2013)