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Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow.

, , , , , and . Medical Image Anal., 16 (2): 497-504 (2012)

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Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow., , , , , and . Medical Image Anal., 16 (2): 497-504 (2012)Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013431. SPIE, (2017)Modeling Mitral Valve Leaflets from Three-Dimensional Ultrasound., , , , and . FIMH, volume 6666 of Lecture Notes in Computer Science, page 215-222. Springer, (2011)Mitral Annulus Segmentation From 3D Ultrasound Using Graph Cuts., , , , , and . IEEE Trans. Medical Imaging, 29 (9): 1676-1687 (2010)Mitral Annulus Segmentation from Three-Dimensional Ultrasound., , , , , and . ISBI, page 779-782. IEEE, (2009)Fast block flow tracking of atrial septal defects in 4D echocardiography., , , , , and . Medical Image Anal., 12 (4): 397-412 (2008)Real-time image-based rigid registration of three-dimensional ultrasound., , , , , and . Medical Image Anal., 16 (2): 402-414 (2012)Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound., , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 520-527. Springer, (2011)