Results 11 to 20 of about 440,224 (250)
Virtual Assessment Of Internal Rotation In Reverse Shoulder Arthroplasty Based On Statistical Shape Models Of Scapular Size [PDF]
JSES InternationalBackground: The purpose of this study was to assess impingement-free internal rotation (IR) in a virtual reverse shoulder arthroplasty simulation using a Statistical Shape Model based on scapula size.
Brian C. Werner +5 more
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AUTOMATED CONSTRUCTION OF 3D STATISTICAL SHAPE MODELS
Image Analysis and Stereology, 2011 Automated segmentation of medical images is a difficult task because of the complexity of anatomic structures, inter-patient variability, and imperfect image acquisition.
Tomaž Vrtovec +4 more
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Application of Statistical Shape Models to Standard Lumbar MRI for Stenosis Treatment Stratification: Severe Versus Normal Stenosis [PDF]
JOR SpineBackground Lumbar spinal stenosis is a prevalent and debilitating diagnosis, which in severe cases requires surgical treatment to relieve nerve root pressure. Often, treatment plans are based in part on subjective, qualitative, and limited MRI assessment.
Mary H. Foltz +4 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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Statistical multi-level shape models for scalable modeling of multi-organ anatomies
Frontiers in Bioengineering and Biotechnology, 2023 Statistical shape modeling is an indispensable tool in the quantitative analysis of anatomies. Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the learning of population-level shape representation from medical imaging data
Nawazish Khan +11 more
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Using Statistical Shape Models to Optimize TKA Implant Design
Applied Sciences, 2022 (1) TKA implants should well fit on each patient’s anatomy. Statistical Shape Models (SSM) statistically represent the anatomy of a given population.
Ingrid Dupraz +5 more
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Bioengineering, 2022 The segmentation of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) of the kidney is a fundamental step in the early and noninvasive detection of acute renal allograft rejection. In this paper, a new and accurate DCE-MRI kidney segmentation
Moumen El-Melegy +4 more
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Cell segmentation and representation with shape priors
Computational and Structural Biotechnology Journal, 2023 Cell segmentation is a fundamental problem of computational biology, for which convolutional neural networks yield the best results nowadays. This field is expanding rapidly, and in the recent years, shape-constrained segmentation models emerged as ...
Dominik Hirling, Peter Horvath
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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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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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