Results 11 to 20 of about 573,279 (256)
Statistical Shape Modeling of the Clavicle: Morphological Variation, Sex Differences, and Surgical Implications [PDF]
Orthopaedic SurgeryObjectives Clavicle fracture fixation is frequently complicated by implant mismatch and mechanical failure due to the complex and highly variable S‐shaped anatomy of the clavicle.
Gang Zhang +6 more
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Diffeomorphic Statistical Shape Models [PDF]
Procedings of the British Machine Vision Conference 2004, 2004 We describe a method of constructing parametric statistical models of shape variation which can generate continuous diffeomorphic (non-folding) deformation fields. Traditional statistical shape models are constructed by analysis of the positions of a set of landmark points.
Timothy F. Cootes +2 more
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A Statistical Shape-Based Patient-Specific Anatomical Structure Model
IEEE Access, 2022 A patient-specific anatomical structure model has been widely used in many medical applications. However, in practical applications, to effectively construct a patient-specific anatomical structure model is a challenge, the reasons are: 1) the manual ...
Zhuye Xu, Xiaoqiang Zhao
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A shape-partitioned statistical shape model for highly deformed femurs using X-ray images
Computer Assisted Surgery, 2022 To develop a patient-specific 3 D reconstruction of a femur modeled using the statistical shape model (SSM) and X-ray images, it is assumed that the target shape is not outside the range of variations allowed by the SSM built from a training dataset.
Jongho Chien +3 more
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Reliability Estimation for Statistical Shape Models [PDF]
IEEE Transactions on Image Processing, 2008 One of the drawbacks of statistical shape models is their occasional failure to converge. Although visually this fact is usually easy to recognize, there is no automatic way to detect it. In this paper, we introduce a generic reliability measure for statistical shape models. It is based on a probabilistic framework and uses information extracted by the
Federico Sukno, Alejandro F. Frangi
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Current Directions in Biomedical Engineering, 2021 This contribution is part of a project concerning the creation of an artificial dataset comprising 3D head scans of craniosynostosis patients for a deep-learning-based classification.
Schaufelberger Matthias +8 more
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MODEL-ORDER SELECTION IN STATISTICAL SHAPE MODELS [PDF]
2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018 To appear in 2018 IEEE International Workshop on Machine Learning for Signal Processing, Sept.\ 17--20, 2018, Aalborg ...
Alma Eguizabal +2 more
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EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb
Frontiers in Veterinary Science, 2021 Most digital models of the equine distal limb that are available in the community are static and/or subject specific; hence, they have limited applications in veterinary research.
Jeroen Van Houtte +5 more
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A Statistical Shape Model Pipeline to Enable the Creation of Synthetic 3D Liver Data
Current Directions in Biomedical Engineering, 2023 The application of machine learning approaches in medical technology is gaining more and more attention. Due to the high restrictions for collecting intraoperative patient data, synthetic data is increasingly used to support the training of artificial ...
Krnjaca Denis +3 more
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A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape Modeling
Diagnostics, 2022 Background: Craniosynostosis is a condition caused by the premature fusion of skull sutures, leading to irregular growth patterns of the head. Three-dimensional photogrammetry is a radiation-free alternative to the diagnosis using computed tomography ...
Matthias Schaufelberger +10 more
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