ArticleNeuroImage. Clinical2018
Evaluation of methods for volumetric analysis of pediatric brain data: The child
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Agreement between FreeSurfer and CAT12 Cortical Thickness Measurements: A Discovery and a Replication Study in Children/Adolescents.Brain topography · 2026Article
- Relation of Visual Function, Retinal Thickness by Optical Coherence Tomography, and MRI Brain Volume in Pediatric-Onset Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2025Article
- A deep learning model for brain segmentation across pediatric and adult populations.Scientific reports · 2024Article
- Clinical-functional correlation with brain volumetry in severe perinatal asphyxia: a case report.Italian journal of pediatrics · 2024Article
- Quantitative reliability assessment of brain MRI volumetric measurements in type II GM1 gangliosidosis patients.Frontiers in neuroimaging · 2024Article
- Brain-behavior dynamics between the left fusiform and reading.Brain structure & function · 2022Article
- Feasibility of FreeSurfer Processing for T1-Weighted Brain Images of 5-Year-Olds: Semiautomated Protocol of FinnBrain Neuroimaging Lab.Frontiers in neuroscience · 2022Article
- Structural brain dynamics across reading development: A longitudinal MRI study from kindergarten to grade 5.Human brain mapping · 2021Article
- Biomimetic phantom with anatomical accuracy for evaluating brain volumetric measurements with magnetic resonance imaging.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Investigating the Added Value of FreeSurfer's Manual Editing Procedure for the Study of the Reading Network in a Pediatric Population.Frontiers in human neuroscience · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric brain volumetric analysis based on Magnetic Resonance Imaging (MRI) is of particular interest in order to understand the typical brain development and to characterize neurodevelopmental disorders at an early age. However, it has been shown that the results can be biased due to head motion, inherent to pediatric data, and due to the use of methods based on adult brain data that are not able to accurately model the anatomical disparity of pediatric brains. To overcome these issues, we proposed child
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