ReviewNature protocols2023
iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction.
Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
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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
75 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.
- Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review.Frontiers in neuroscience · 2024Pooled it
- Associations between maternal adiposity during pregnancy and neonatal brain cortical development.NeuroImage · 2026Article
- Division-Specific Organization of a Shared Functional Scaffold in the Early-Life Human Brain.bioRxiv : the preprint server for biology · 2026Article
- Brain structural and functional connectivity converge prenatally but diverge after birth.PLoS biology · 2026Article
- AI segmentation requires accounting for brain size to maintain performance on developmental MRI cohorts.bioRxiv : the preprint server for biology · 2026Article
- Biophysical modeling of anatomically realistic prenatal cortical folding development.Nature communications · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- Cortical and white matter myelination proceed in concert during early infancy.Nature communications · 2026Article
- miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.Human brain mapping · 2026Article
- Developmental human brain connectome from fetal stage to early childhood.Developmental cognitive neuroscience · 2026Review
- BIBSNet: A deep learning baby image brain segmentation network for MRI scans.Developmental cognitive neuroscience · 2026Article
- Surface expansion regionalization of the hippocampus in early brain development.Developmental cognitive neuroscience · 2026Article
- Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavior.Nature communications · 2026Article
- Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortembioRxiv : the preprint server for biology · 2026Article
- Perinatal hardship and infant neurodevelopment: insights from a global pandemic.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Spatiotemporal dynamics of the human cortical functional hierarchy across the lifespan.Nature communications · 2026Article
- Early neurodevelopmental brain perfusion abnormalities and functional connectivity findings in infants with Prader-Willi syndrome.Journal of neurodevelopmental disorders · 2026Article
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- Early life phthalate and replacement plasticizer exposures and changes in early childhood brain functional connectivity and structural morphology.Environment international · 2026Article
- Hierarchical microstructural tissue growth of the gray and white matter of human visual cortex during the first year of life.Brain structure & function · 2026Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The human cerebral cortex undergoes dramatic and critical development during early postnatal stages. Benefiting from advances in neuroimaging, many infant brain magnetic resonance imaging (MRI) datasets have been collected from multiple imaging sites with different scanners and imaging protocols for the investigation of normal and abnormal early brain development. However, it is extremely challenging to precisely process and quantify infant brain development with these multisite imaging data because infant brain MRI scans exhibit (a) extremely low and dynamic tissue contrast caused by ongoing myelination and maturation and (b) inter-site data heterogeneity resulting from the use of diverse imaging protocols/scanners. Consequently, existing computational tools and pipelines typically perform poorly on infant MRI data. To address these challenges, we propose a robust, multisite-applicable, infant-tailored computational pipeline that leverages powerful deep learning techniques. The main functionality of the proposed pipeline includes preprocessing, brain skull stripping, tissue segmentation, topology correction, cortical surface reconstruction and measurement. Our pipeline can handle both T1w and T2w structural infant brain MR images well in a wide age range (from birth to 6 years of age) and is effective for different imaging protocols/scanners, despite being trained only on the data from the Baby Connectome Project. Extensive comparisons with existing methods on multisite, multimodal and multi-age datasets demonstrate superior effectiveness, accuracy and robustness of our pipeline. We have maintained a website, iBEAT Cloud, for users to process their images with our pipeline ( http://www.ibeat.cloud ), which has successfully processed over 16,000 infant MRI scans from more than 100 institutions with various imaging protocols/scanners.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.