ArticleFrontiers in neuroscience2021
Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Roles and applications of artificial intelligence in fetal and placental MRI: a literature review.BMC pregnancy and childbirth · 2026Pooled it
- Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets.Journal of magnetic resonance imaging : JMRI · 2026Pooled it
- MRI-based assessment of fetal brain gyrification: Reliability across two methods.Neuroimage. Reports · 2026Article
- Functional brain growth trajectories across the first decade of life from a single longitudinal cohort.Research square · 2026Article
- Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026Observational
- Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI.Frontiers in neuroscience · 2026Article
- Conditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brain.NeuroImage · 2025Article
- Regional Brain Aging Disparity Index: Region-Specific Brain Aging State Index for Neurodegenerative Diseases and Chronic Disease Specificity.Bioengineering (Basel, Switzerland) · 2025Article
- Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.Radiology. Artificial intelligence · 2025Article
- A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques.AJNR. American journal of neuroradiology · 2024Article
- Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The role of cortical structural variance in deep learning-based prediction of fetal brain age.Frontiers in neuroscience · 2024Article
- Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net.Frontiers in neuroscience · 2024Article
- Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks.Scientific reports · 2023Article
- Artificial intelligence applied to fetal MRI: A scoping review of current research.The British journal of radiology · 2023Article
- Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference.NeuroImage · 2022Article
- PANDA: Patch-based unsupervised deep learning for brain anomaly detection via age prediction in fetal MRI.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
15 authors at 7 institutions in 3 countries.
Funding
Abstract
The accurate prediction of fetal brain age using magnetic resonance imaging (MRI) may contribute to the identification of brain abnormalities and the risk of adverse developmental outcomes. This study aimed to propose a method for predicting fetal brain age using MRIs from 220 healthy fetuses between 15.9 and 38.7 weeks of gestational age (GA). We built a 2D single-channel convolutional neural network (CNN) with multiplanar MRI slices in different orthogonal planes without correction for interslice motion. In each fetus, multiple age predictions from different slices were generated, and the brain age was obtained using the mode that determined the most frequent value among the multiple predictions from the 2D single-channel CNN. We obtained a mean absolute error (MAE) of 0.125 weeks (0.875 days) between the GA and brain age across the fetuses. The use of multiplanar slices achieved significantly lower prediction error and its variance than the use of a single slice and a single MRI stack. Our 2D single-channel CNN with multiplanar slices yielded a significantly lower stack-wise MAE (0.304 weeks) than the 2D multi-channel (MAE = 0.979,
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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.