Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method
نویسندگان
چکیده
منابع مشابه
Sparse Orthonormalized Partial Least Squares
Orthonormalized partial least squares (OPLS) is often used to find a low-rank mapping between inputs X and outputs Y by estimating loading matrices A and B. In this paper, we introduce sparse orthonormalized PLS as an extension of conventional PLS that finds sparse estimates of A through the use of the elastic net algorithm. We apply sparse OPLS to the reconstruction of presented images from BO...
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Partial least squares (PLS) is a class of methods that makes use of a set of latent or unobserved variables to model the relation between (typically) two sets of input and output variables, respectively. Several flavors, depending on how the latent variables or components are computed, have been developed over the last years. In this letter, we propose a Bayesian formulation of PLS along with s...
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Laser scanning can be used to visualize the face in three dimensions. These scans can then be processed to enable assessment of facial changes. The aim of this single-centre, prospective, longitudinal, cohort study was to investigate whether four different visualization methods correctly represented facial changes occurring as a result of orthognathic surgery. Twenty-six consecutive orthognathi...
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accurate prediction of the surgical outcome is important in treating dentofacial deformities. visualized treatment objectives usually involve manual surgical simulation based on tracing of cephalometric radiographs. recent technical advancements have led to the use of computer assisted imaging systems in treatment planning for orthognathic surgical cases. the purpose of this study was to examin...
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ژورنال
عنوان ژورنال: The Angle Orthodontist
سال: 2019
ISSN: 0003-3219,1945-7103
DOI: 10.2319/120518-851.1