Results 11 to 20 of about 53,852 (253)
An Annotation-Free Pipeline for 3D Auricular Bowl Atlas Construction and Statistical Shape Modelling from Surface Scans [PDF]
Three-dimensional (3D) ear morphology is critical for the design of in-the-ear hearing aids, earphones, transcutaneous auricular vagus nerve stimulation (taVNS) electrodes, and auricular reconstruction, yet most existing ear shape models still rely on ...
Tongxu Zhang +4 more
doaj +2 more sources
Harnessing deep learning and statistical shape modelling for three‐dimensional evaluation of joint bony morphology [PDF]
Jacob F. Oeding +3 more
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Diffeomorphic Statistical Shape Models [PDF]
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
openaire +2 more sources
Development and validation of statistical shape models of the primary functional bone segments of the foot [PDF]
Introduction Musculoskeletal models are important tools for studying movement patterns, tissue loading, and neuromechanics. Personalising bone anatomy within models improves analysis accuracy.
Tamara M. Grant +7 more
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Geometric variation of the human tibia-fibula: a public dataset of tibia-fibula surface meshes and statistical shape model [PDF]
Background Variation in tibia geometry is a risk factor for tibial stress fractures. Geometric variability in bones is often quantified using statistical shape modelling. Statistical shape models (SSM) offer a method to assess three-dimensional variation
Meghan Keast, Jason Bonacci, Aaron Fox
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A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation
In population-oriented ergonomics product design and musculoskeletal kinetics analysis, digital spine models of different shape, pose and material property are in great demand.
Xiaobang Sun +6 more
doaj +1 more source
Reliability Estimation for Statistical Shape Models [PDF]
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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MODEL-ORDER SELECTION IN STATISTICAL SHAPE MODELS [PDF]
To appear in 2018 IEEE International Workshop on Machine Learning for Signal Processing, Sept.\ 17--20, 2018, Aalborg ...
Alma Eguizabal +2 more
openaire +3 more sources
(1) Background: Complex proximal humerus fractures often result in complications following surgical treatment. A better understanding of the full 3D displacement would provide insight into the fracture morphology.
Florianne E. van Schaardenburgh +5 more
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