ArticleFrontiers in bioengineering and biotechnology2023
Statistical multi-level shape models for scalable modeling of multi-organ anatomies.
Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Advancing Prevention and Treatment of Ankle Osteoarthritis: A Translational Clinical Roadmap from the 2026 AOFAS/Arthritis Foundation Ankle Arthritis Think Tank.Foot & ankle orthopaedics · 2026Review
- A Statistical Shape Modeling Approach for the Derivation of a Data-Driven Geometry-Aware Lumped Arterial Stenosis Model.International journal for numerical methods in biomedical engineering · 2026Article
- PACT: A practice-driven predictive algorithm for customized transradial prosthetic socket design.PloS one · 2026Article
- Assessing differences in growth and shape between symptomatic and asymptomatic abdominal aortic aneurysms.Quantitative imaging in medicine and surgery · 2025Article
- Sacroiliac joint auricular surface morphology modulates its mechanical environment.Journal of anatomy · 2025Article
- Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024Article
- Three-dimensional characterization of sex differences in abdominal aortic aneurysm progression via vascular deformation mapping.Scientific reports · 2024Article
- Machine Learning and Statistical Shape Modelling Methodologies to Assess Vascular Morphology before and after Aortic Valve Replacement.Journal of clinical medicine · 2024Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
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 (e.g., CT, MRI) and the associated 3D models of anatomy generated from them. PSM optimizes the placement of a dense set of landmarks (i.e., correspondence points) on a given shape cohort. PSM supports multi-organ modeling as a particular case of the conventional single-organ framework
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Registered trials
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