ArticleNeuroImage2017
Robust skull stripping using multiple MR image contrasts insensitive to pathology.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Central Vein Sign Profile of Newly Developing Lesions in Multiple Sclerosis: A 3-Year Longitudinal Study.Neurology(R) neuroimmunology & neuroinflammation · 2022Trial
- Application of deep neural networks in automatized ventriculometry and segmentation of the aqueduct in pediatric hydrocephalus patients.Neuroradiology · 2026Article
- GOUHFI: A novel contrast- and resolution-agnostic segmentation tool for ultra-high-field MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Synthetic data in generalizable, learning-based neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.NPJ digital medicine · 2024Article
- Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach.Military medicine · 2024Article
- Hippocampal volume changes after (R,S)-ketamine administration in patients with major depressive disorder and healthy volunteers.Scientific reports · 2024Article
- Stroke Lesion Segmentation and Deep Learning: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Deep-learning model for diagnostic clue: detecting the dural tail sign for meningiomas on contrast-enhanced T1 weighted images.Quantitative imaging in medicine and surgery · 2023Article
- Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.European radiology · 2023Article
- RAPID BRAIN MENINGES SURFACE RECONSTRUCTION WITH LAYER TOPOLOGY GUARANTEE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2023Article
- AUTOMATED VENTRICLE PARCELLATION AND EVAN'S RATIO COMPUTATION IN PRE- AND POST-SURGICAL VENTRICULOMEGALY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2023Article
- Automatic analysis of skull thickness, scalp-to-cortex distance and association with age and sex in cognitively normal elderly.bioRxiv : the preprint server for biology · 2023Article
- Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status.European radiology · 2022Article
- SynthStrip: skull-stripping for any brain image.NeuroImage · 2022Article
- A general skull stripping of multiparametric brain MRIs using 3D convolutional neural network.Scientific reports · 2022Article
- Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data.Scientific reports · 2022Article
- Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation.Scientific reports · 2022Article
- An efficient magnetic resonance image data quality screening dashboard.Journal of applied clinical medical physics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Automatic skull-stripping or brain extraction of magnetic resonance (MR) images is often a fundamental step in many neuroimage processing pipelines. The accuracy of subsequent image processing relies on the accuracy of the skull-stripping. Although many automated stripping methods have been proposed in the past, it is still an active area of research particularly in the context of brain pathology. Most stripping methods are validated on T
Indexed as
Identifiers
What OpenQuestion holds
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.