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Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model.

, , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 35-45. Springer, (2021)

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Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a Machine Learning Model., , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 35-45. Springer, (2021)Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry., , , , , , , , , and 1 other author(s). Medical Image Anal., 26 (1): 217-231 (2015)Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images., , , , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 485-492. Springer, (2013)Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure., , , , , , , , , and . STACOM, volume 8896 of Lecture Notes in Computer Science, page 196-203. Springer, (2014)Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial modeling., , , , , , , and . Medical Image Anal., 18 (1): 118-129 (2014)Multi-atlas Segmentation with Robust Label Transfer and Label Fusion., , , , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 548-559. Springer, (2013)