Machine learning methods to support personalized neuromusculoskeletal modelling
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …
personalized neuromusculoskeletal models. Applications include refined diagnostics …
A radiation-free classification pipeline for craniosynostosis using statistical shape modeling
M Schaufelberger, R Kühle, A Wachter, F Weichel… - Diagnostics, 2022 - mdpi.com
Background: Craniosynostosis is a condition caused by the premature fusion of skull
sutures, leading to irregular growth patterns of the head. Three-dimensional …
sutures, leading to irregular growth patterns of the head. Three-dimensional …
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
Statistical shape modeling (SSM) is widely used in biology and medicine as a new
generation of morphometric approaches for the quantitative analysis of anatomical shapes …
generation of morphometric approaches for the quantitative analysis of anatomical shapes …
Statistical shape modelling for the analysis of head shape variations
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 …
to 2-year-old subjects to describe head shape variability within a normal population and …
Paediatric skull growth models: A systematic review of applications to normal skulls and craniosynostoses
M Geoffroy, PM François, RH Khonsari… - Journal of Stomatology …, 2022 - Elsevier
Introduction Craniosynostoses affect 1/2000 births and their incidence is currently
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …
increasing. Without surgery, craniosynostosis can lead to neurological issues due to …
[HTML][HTML] Mechanical and morphological properties of parietal bone in patients with sagittal craniosynostosis
S Ajami, N Rodriguez-Florez, J Ong, D Dunaway… - Journal of the …, 2022 - Elsevier
Limited information is available on the effect of sagittal craniosynostosis (CS) on
morphological and material properties of the parietal bone. Understanding these properties …
morphological and material properties of the parietal bone. Understanding these properties …
Learning with context encoding for single-stage cranial bone labeling and landmark localization
Automatic anatomical segmentation and landmark localization in medical images are
important tasks during craniofacial analysis. While deep neural networks have been recently …
important tasks during craniofacial analysis. While deep neural networks have been recently …
[HTML][HTML] Impact of data synthesis strategies for the classification of craniosynostosis
M Schaufelberger, RP Kühle, A Wachter… - Frontiers in Medical …, 2023 - frontiersin.org
Introduction Photogrammetric surface scans provide a radiation-free option to assess and
classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient …
classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient …
Statistical shape modelling of the human mandible: 3D shape predictions based on external morphometric features
G Pascoletti - International Journal on Interactive Design and …, 2022 - Springer
One of the main limitations in subject-centred design approach is represented by getting 3D
models of the region of interest. Indeed, 3D reconstruction from imaging data (ie, computed …
models of the region of interest. Indeed, 3D reconstruction from imaging data (ie, computed …
On the evaluation and validation of off-the-shelf statistical shape modeling tools: a clinical application
Statistical shape modeling (SSM) has proven useful in many areas of biology and medicine
as a new generation of morphometric approaches for the quantitative analysis of anatomical …
as a new generation of morphometric approaches for the quantitative analysis of anatomical …