Results 41 to 50 of about 573,105 (295)

Statistical-Shape Prediction of Lower Limb Kinematics During Cycling, Squatting, Lunging, and Stepping—Are Bone Geometry Predictors Helpful?

open access: yesFrontiers in Bioengineering and Biotechnology, 2021
Purpose: Statistical shape methods have proven to be useful tools in providing statistical predications of several clinical and biomechanical features as to analyze and describe the possible link with them.
Joris De Roeck   +7 more
doaj   +1 more source

Statistical Modeling of Craniofacial Shape and Texture [PDF]

open access: yesInternational Journal of Computer Vision, 2019
Abstract We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset of 3D images, the Headspace dataset, thus generating the first public shape-and-texture 3D morphable model (3DMM) of the full human head. Our approach is the first to employ a template that adapts to the dataset subject before dense morphing ...
Dai, Hang   +3 more
openaire   +3 more sources

A statistical shape model to predict the premorbid glenoid cavity [PDF]

open access: yes, 2018
Background: This study proposes a method for inferring the premorbid glenoid shape and orientation of scapulae affected by glenohumeral osteoarthritis (OA) to inform restorative surgery.Methods: A statistical shape model (SSM) built from 64 healthy ...
Terrier, Alexandre   +11 more
core   +1 more source

Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus

open access: yesFrontiers in Neuroscience, 2020
Performing an accurate segmentation of the hippocampus from brain magnetic resonance images is a crucial task in neuroimaging research, since its structural integrity is strongly related to several neurodegenerative disorders, including Alzheimer’s ...
Irene Brusini   +6 more
doaj   +1 more source

Statistical Multi-Object Shape Models [PDF]

open access: yesInternational Journal of Computer Vision, 2007
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach, it is described by a probabilistic model on the deformations that transform a common template into various instances.
Conglin Lu   +3 more
openaire   +1 more source

Impact of data synthesis strategies for the classification of craniosynostosis

open access: yesFrontiers in Medical Technology, 2023
IntroductionPhotogrammetric surface scans provide a radiation-free option to assess and classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient restrictions, clinical data are rare.
Matthias Schaufelberger   +10 more
doaj   +1 more source

Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)

open access: yesSensors, 2020
Inspecting a 3D object which shape has elastic manufacturing tolerances in order to find defects is a challenging and time-consuming task. This task usually involves humans, either in the specification stage followed by some automatic measurements, or in
Javier Pérez   +3 more
doaj   +1 more source

RAPID AND AUTOMATED BODY MEASUREMENT OF CATTLE BASED ON STATISTICAL SHAPE MODEL [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The current methods of non-contact livestock body measurement directly deal with the low-quality point cloud data of livestock, which have low robustness and lack practicality.
Y. Bao   +8 more
doaj   +1 more source

Statistical shape model of vessel centerline for endovascular paths comparison in mechanical thrombectomy

open access: yes, 2021
International audienceEndovascular interventions are experiencing an important development. Despite many advantages of this type of intervention, catheter navigation is still a cause of difficulties or failure.
Blanc, R.   +11 more
core   +1 more source

Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set

open access: yesIEEE Access, 2021
No single technology can be rich enough to segment accurately due to the challenges of liver segmentation, which include low contrast with neighboring organs and the presence of pathology as well as highly varied shapes between subjects.
Lifang Zhou   +5 more
doaj   +1 more source

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