ArticleIEEE transactions on medical imaging2016
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.
Article in IEEE transactions on medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05040542 (A Cohort Study on the Brain Mechanism of Social Emotion and Communication in Infants Aged 0 to 6 Years), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
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.
A Cohort Study on the Brain Mechanism of Social Emotion and Communication in Infants Aged 0 to 6 Years
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- (Un)common space in infant neuroimaging studies: A systematic review of infant templates.Human brain mapping · 2022Pooled it
- Neural Autoregressive Modeling of Brain Aging.Deep generative models : 5th MICCAI workshop, DGM4MICCAI 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. DGM4MICCAI (Workshop) (5th : 2025 : Taejon-si, Korea) · 2026Article
- Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registration.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Evaluation of deep gray matter for early brain development using quantitative susceptibility mapping.European radiology · 2023Article
- An artificial-intelligence-based age-specific template construction framework for brain structural analysis using magnetic resonance images.Human brain mapping · 2023Article
- A diffeomorphic aging model for adult human brain from cross-sectional data.Scientific reports · 2022Article
- Multi-contrast computed tomography healthy kidney atlas.Computers in biology and medicine · 2022Article
- A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.NeuroImage · 2022Article
- Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations.NeuroImage · 2022Article
- Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations.Frontiers in neuroscience · 2022Article
- Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett Syndrome.Frontiers in neuroscience · 2022Review
- Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.Medical image analysis · 2022Article
- Development and evaluation of a high performance T1-weighted brain template for use in studies on older adults.Human brain mapping · 2021Article
- Imaging the rapidly developing brain: Current challenges for MRI studies in the first five years of life.Developmental cognitive neuroscience · 2021Review
- Construction of a Multi-Phase Contrast Computed Tomography Kidney Atlas.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Hierarchical geodesic modeling on the diffusion orientation distribution function for longitudinal DW-MRI analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.IEEE transactions on medical imaging · 2019Article
- A framework for multi-component analysis of diffusion MRI data over the neonatal period.NeuroImage · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Brain atlases are an essential component in understanding the dynamic cerebral development, especially for the early postnatal period. However, longitudinal atlases are rare for infants, and the existing ones are generally limited by their fuzzy appearance. Moreover, since longitudinal atlas construction is typically performed independently over time, the constructed atlases often fail to preserve temporal consistency. This problem is further aggravated for infant images since they typically have low spatial resolution and insufficient tissue contrast. In this paper, we propose a novel framework for consistent spatial-temporal construction of longitudinal atlases for developing infant brain MR images. Specifically, for preserving structural details, the atlas construction is performed in spatial-temporal wavelet domain simultaneously. This is achieved by a patch-based combination of results from each frequency subband. Compared with the existing infant longitudinal atlases, our experimental results indicate that our approach is able to produce longitudinal atlases with richer structural details and also better longitudinal consistency, thus leading to higher performance when used for spatial normalization of a group of infant brain images.
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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.