Results 21 to 30 of about 573,105 (295)
Current Directions in Biomedical Engineering, 2021 This contribution is part of a project concerning the creation of an artificial dataset comprising 3D head scans of craniosynostosis patients for a deep-learning-based classification.
Schaufelberger Matthias +8 more
doaj +1 more source
A Statistical Shape Model Pipeline to Enable the Creation of Synthetic 3D Liver Data
Current Directions in Biomedical Engineering, 2023 The application of machine learning approaches in medical technology is gaining more and more attention. Due to the high restrictions for collecting intraoperative patient data, synthetic data is increasingly used to support the training of artificial ...
Krnjaca Denis +3 more
doaj +1 more source
EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb
Frontiers in Veterinary Science, 2021 Most digital models of the equine distal limb that are available in the community are static and/or subject specific; hence, they have limited applications in veterinary research.
Jeroen Van Houtte +5 more
doaj +1 more source
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
doaj +1 more source
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
openaire +4 more sources
Frontiers in Bioengineering and Biotechnology, 2021 Background and objectives: Statistical shape modeling (SSM) based on computerized tomography (CT) datasets has enabled reasonably accurate reconstructions of subject-specific 3D bone morphology from one or two synchronous radiographs for clinical ...
Hsuan-Yu Lu +8 more
doaj +1 more source
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
openaire +1 more source
Statistical Shape Model of the Tibia.
, 2022 This project provides a freely accessible three-dimensional statistical shape model (SSM) of the tibia, the coded scripts for generating a SSM and the segmented surface models of the cortical and trabecular bone.
Aaron Fox (13055892) +2 more
core +1 more source
Variability in tibia-fibular geometry is associated with increased tibial strain from running loads
Royal Society Open Science, 2023 Variation in tibial geometry may alter strain magnitude and distribution during locomotion. We investigated the effect of tibia-fibula geometric variations on tibial strain with running loads applied at various speeds.
Meghan Keast, Jason Bonacci, Aaron Fox
doaj +1 more source
SEGMENTATION OF ANATOMICAL STRUCTURES BY CONNECTED STATISTICAL MODELS
Image Analysis and Stereology, 2011 This paper presents a framework for the segmentation of anatomical structures in medical imagery by connected statistical models. The framework is based on three types of models: first, generic models which operate directly on image intensities, second ...
Marko Bukovec +2 more
doaj +1 more source