Results 21 to 30 of about 440,224 (250)
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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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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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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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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Компьютерная оптика, 2021 We consider the statistical properties of different mosaic filters. We demonstrate that in Pitiev's morphology, the measure of shape complexity is directly related to the shape simplicity measure based on morphological correlation coefficient (MCC ...
Y.V. Vizilter +2 more
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Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement
Sensors, 2022 We propose a linear regression model for the estimation of human body measurements. The input to the model only consists of the information that a person can self-estimate, such as height and weight.
Kristijan Bartol +4 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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Facial Expression Biometrics Using Statistical Shape Models
EURASIP Journal on Advances in Signal Processing, 2009 This paper describes a novel method for representing different facial expressions based on the shape space vector (SSV) of the statistical shape model (SSM) built from 3D facial data.
Djamel Ait-Boudaoud +3 more
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