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Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial modeling.

A. Pouch, H. Wang, M. Takabe, B. Jackson, J. III, R. Gorman, P. Yushkevich, and C. Sehgal. Medical Image Analysis, 18 (1): 118-129 (2014)

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Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure.A. Pouch, S. Tian, M. Takabe, H. Wang, J. Yuan, A. Cheung, B. Jackson, J. III, R. Gorman, and P. Yushkevich. STACOM, volume 8896 of Lecture Notes in Computer Science, page 196-203. Springer, (2014)Image Segmentation and Modeling of the Pediatric Tricuspid Valve in Hypoplastic Left Heart Syndrome.A. Pouch, A. Aly, A. Lasso, A. Nguyen, A. Scanlan, F. McGowan, G. Fichtinger, R. Gorman, J. III, P. Yushkevich and 1 other author(s). FIMH, volume 10263 of Lecture Notes in Computer Science, page 95-105. Springer, (2017)Semi-automated Image Segmentation of the Midsystolic Left Ventricular Mitral Valve Complex in Ischemic Mitral Regurgitation.A. Aly, A. Aly, M. Elrakhawy, K. Haroun, L. Prieto-Riascos, R. Jr., N. Yushkevich, Y. Saito, J. III, R. Gorman and 2 other author(s). STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 142-151. Springer, (2018)Diffeomorphic Medial Modeling.P. Yushkevich, A. Aly, J. Wang, L. Xie, R. Gorman, L. Younes, and A. Pouch. IPMI, volume 11492 of Lecture Notes in Computer Science, page 208-220. Springer, (2019)Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images.A. Pouch, A. Aly, E. Lai, N. Yushkevich, R. Stoffers, J. IV, A. Cheung, J. III, R. Gorman, and P. Yushkevich. MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 746-754. Springer, (2017)Multi-atlas Segmentation with Robust Label Transfer and Label Fusion.H. Wang, A. Pouch, M. Takabe, B. Jackson, J. III, R. Gorman, and P. Yushkevich. IPMI, volume 7917 of Lecture Notes in Computer Science, page 548-559. Springer, (2013)Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial modeling.A. Pouch, H. Wang, M. Takabe, B. Jackson, J. III, R. Gorman, P. Yushkevich, and C. Sehgal. Medical Image Analysis, 18 (1): 118-129 (2014)Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry.A. Pouch, S. Tian, M. Takabe, J. Yuan, R. Jr., A. Cheung, H. Wang, B. Jackson, J. III, R. Gorman and 1 other author(s). Medical Image Analysis, 26 (1): 217-231 (2015)Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images.A. Pouch, H. Wang, M. Takabe, B. Jackson, C. Sehgal, J. III, R. Gorman, and P. Yushkevich. MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 485-492. Springer, (2013)Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS.B. Oguz, J. Wang, N. Yushkevich, A. Pouch, J. Gee, P. Yushkevich, N. Schwartz, and I. Oguz. DATRA/PIPPI@MICCAI, volume 11076 of Lecture Notes in Computer Science, page 138-148. Springer, (2018)