Work

Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-40811-3_61

Authors: Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Chandra M. Sehgal, Joseph H. Gorman, Robert C. Gorman, Paul A. Yushkevich

Institution: University of Pennsylvania

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: American Heart Association, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Continued Development and Maintenance of ITK-SNAP 3D Image Segmentation Software, Surgery to Prevent Post Infarction Ventricular Remodeling, Quantitative Methods for Optimizing IMR Repair, Novel Imaging Biomarkers for Treatment Evaluation in Neurodegenerative Disorders, 3D Echocardiography to Improve Clinical Outcomes After Surgery for Ischemic Mitral Regurgitation, Fully Automated 4D Echocardiographic Mitral Valve Analysis for Surgical Repair

OpenAlex ID: W93455141

FWCI: 2.357

Cites: 17

Cited by: 25

Related to: 10