Results 21 to 30 of about 440,016 (278)
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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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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Elastic shape analysis of brain structures for predictive modeling of PTSD
Frontiers in Neuroscience, 2022 It is well-known that morphological features in the brain undergo changes due to traumatic events and associated disorders such as post-traumatic stress disorder (PTSD).
Yuexuan Wu +4 more
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Statistical shape modelling for the analysis of head shape variations [PDF]
Journal of Cranio-Maxillofacial Surgery, 2021 The aim of this study is, firstly, to create a population-based 3D head shape model for the 0 to 2-year-old subjects to describe head shape variability within a normal population and, secondly, to test a combined normal and sagittal craniosynostosis (SAG) population model, able to provide surgical outcome assessment. 3D head shapes of patients affected
Heutinck, Pam +10 more
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Journal of Imaging, 2022 3D facial surface imaging is a useful tool in dentistry and in terms of diagnostics and treatment planning. Between-group PCA (bgPCA) is a method that has been used to analyse shapes in biological morphometrics, although various “pathologies” of bgPCA ...
Damian J. J. Farnell
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A Statistical Shape Model for the Liver [PDF]
, 2002 The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between them.
Hans Lamecker +2 more
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BioMedical Engineering OnLine, 2023 Major trauma is a condition that can result in severe bone damage. Customised orthopaedic reconstruction allows for limb salvage surgery and helps to restore joint alignment.
Daniel Nolte +2 more
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Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models. [PDF]
J Biomech, 2016 Accurate muscle geometry for musculoskeletal models is important to enable accurate subject-specific simulations. Commonly, linear scaling is used to obtain individualised muscle geometry. More advanced methods include non-linear scaling using segmented
Nolte D +5 more
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Statistical shape theory for activity modeling [PDF]
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003 Monitoring activities in a certain region from video data is an important surveillance problem. The goal is to learn the pattern of normal activities and detect unusual ones by identifying activities that deviate appreciably from the typical ones. We propose an approach using statistical shape theory based on the shape model of D.G. Kendall et al. (see
Namrata Vaswani +2 more
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