ArticleBrain structure & function2021
Mapping fetal brain development based on automated segmentation and 4D brain atlasing.
Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Roles and applications of artificial intelligence in fetal and placental MRI: a literature review.BMC pregnancy and childbirth · 2026Pooled it
- Fetal brain MRI atlases and datasets: A review.NeuroImage · 2024Pooled it
- Temporally consistent longitudinal brain tumor segmentation using a temporal spatial transformer network.Scientific reports · 2026Article
- Imaging of Embryonic and Fetal Brain Development Using MRI Microscopy: Achieving High Spatial Resolution.Medical sciences (Basel, Switzerland) · 2026Review
- A data-driven framework linking the connectome to spatial gene expression gradients inspired by chemoaffinity theory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Revealing morphological fingerprints in perinatal brains using quasi-conformal mapping: occurrence and neurodevelopmental implications.Brain imaging and behavior · 2025Article
- A detailed spatiotemporal atlas of the white matter tracts for the fetal brain.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Developmental mouse brain common coordinate framework.Nature communications · 2024Article
- Advances in Fetal Brain Imaging.Magnetic resonance imaging clinics of North America · 2024Review
- A detailed spatio-temporal atlas of the white matter tracts for the fetal brain.bioRxiv : the preprint server for biology · 2024Article
- Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023Article
- Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements.Diagnostics (Basel, Switzerland) · 2023Article
- Artificial intelligence applied to fetal MRI: A scoping review of current research.The British journal of radiology · 2023Article
- Free-breathing and instantaneous abdominal TEuropean radiology · 2023Article
- Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging.World journal of clinical cases · 2023Review
- Article
- Neuromorphological Atlas of Human Prenatal Brain Development: White Paper.Life (Basel, Switzerland) · 2023Article
- Spatiotemporal Developmental Gradient of Thalamic Morphology, Microstructure, and Connectivity fromthe Third Trimester to Early Infancy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.AJNR. American journal of neuroradiology · 2023Article
- Spatiotemporal Atlas of the Fetal Brain Depicts Cortical Developmental Gradient.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
Abstract
Fetal brain MRI has become an important tool for in utero assessment of brain development and disorders. However, quantitative analysis of fetal brain MRI remains difficult, partially due to the limited tools for automated preprocessing and the lack of normative brain templates. In this paper, we proposed an automated pipeline for fetal brain extraction, super-resolution reconstruction, and fetal brain atlasing to quantitatively map in utero fetal brain development during mid-to-late gestation in a Chinese population. First, we designed a U-net convolutional neural network for automated fetal brain extraction, which achieved an average accuracy of 97%. We then generated a developing fetal brain atlas, using an iterative linear and nonlinear registration approach. Based on the 4D spatiotemporal atlas, we quantified the morphological development of the fetal brain between 23 and 36 weeks of gestation. The proposed pipeline enabled the fully automated volumetric reconstruction for clinically available fetal brain MRI data, and the 4D fetal brain atlas provided normative templates for the quantitative characterization of fetal brain development, especially in the Chinese population.
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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.