ArticleInternational journal of legal medicine2020
The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation.
Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Magnetic resonance imaging for multi-factorial age estimation using Bayes' rule: a validation study in two independent samples.International journal of legal medicine · 2025Article
- Bone age and dental age to assess criminal responsibility: Part I.International journal of legal medicine · 2025Article
- Systematic review: oral and maxillofacial radiology as fundamental methods of virtual autopsy.Forensic sciences research · 2023Review
- Age prediction in sub-adults based on MRI segmentation of 3rd molar tissue volumes.International journal of legal medicine · 2023Article
- Automated age estimation of young individuals based on 3D knee MRI using deep learning.International journal of legal medicine · 2021Article
Corrections and comments
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Authors and funding
12 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis feasibility study aimed to investigate the reliability of multi-factorial age estimation based on MR data of the hand, wisdom teeth and the clavicles with reduced acquisition time.
methodsThe raw MR data of 34 volunteers-acquired on a 3T system and using acquisition times (T
resultsAutomatic age estimation generally showed very high reliability (SSD < 0.90 years) even for very short acquisition times (SSD ≈ 0.20 years for a total T
conclusionsThe results demonstrate that reliable multi-factorial age estimation based on MRI of the hand, wisdom teeth and the clavicles can be performed using images acquired with a total acquisition time of 4 min.
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Registered trials
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