ArticleNeuroImage2011
Fully automated analysis using BRAINS: AutoWorkup.
Article in NeuroImage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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
64 citing papers in PubMed.
- Long-term outcome of brain structure in female preterm infants: possible associations of liberal versus restrictive red blood cell transfusions.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2021Trial
- Associations of Sleep Disordered Breathing and Neurodevelopment with Pre-Speech Function in 2-Month-Old Infants with Oral Cleft: A Feasibility Study.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Observational
- Long COVID: lung pathophysiology and its relationship with cognitive dysfunction.Scientific reports · 2025Article
- Long COVID: Lung Pathophysiology and its Relationship with Cognitive Dysfunction.Research square · 2025Article
- Age-Related Changes in Brain Structure in Pediatric Chronic Kidney Disease.JAMA network open · 2025Article
- Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder.Journal of affective disorders · 2025Article
- Posterior Fossa Sub-Arachnoid Cysts Observed in Patients with Bipolar Disorder: a Retrospective Cohort Study.Cerebellum (London, England) · 2023Article
- PigSNIPE: Scalable Neuroimaging Processing Engine for Minipig MRI.Algorithms · 2023Article
- Distinct patterns of altered quantitative T1ρ and functional BOLD response associated with history of suicide attempts in bipolar disorder.Brain imaging and behavior · 2022Article
- Brain structure and neural activity related to reading in boys with isolated oral clefts.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2021Article
- Automated atlas-based segmentation for skull base surgical planning.International journal of computer assisted radiology and surgery · 2021Article
- MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Longitudinal subcortical segmentation with deep learning.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Cognitive function and its relationship with brain structure in myotonic dystrophy type 1.Journal of neuroscience research · 2021Article
- Generalizing MRI Subcortical Segmentation to Neurodegeneration.Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology : Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020... · 2020Article
- Subcortical T1-Rho MRI Abnormalities in Juvenile-Onset Huntington's Disease.Brain sciences · 2020Article
- TENSOR-BASED GRADING: A NOVEL PATCH-BASED GRADING APPROACH FOR THE ANALYSIS OF DEFORMATION FIELDS IN HUNTINGTON'S DISEASE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Brainstem and striatal volume changes are detectable in under 1 year and predict motor decline in spinocerebellar ataxia type 1.Brain communications · 2020Article
- Brain structure in juvenile-onset Huntington disease.Neurology · 2019Article
- Emerging differences between Huntington's disease-like 2 and Huntington's disease: A comparison using MRI brain volumetry.NeuroImage. Clinical · 2019Article
4 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
7 authors.
Funding
Abstract
The BRAINS (Brain Research: Analysis of Images, Networks, and Systems) image analysis software has been in use, and in constant development, for over 20 years. The original neuroimage analysis pipeline using BRAINS was designed as a semiautomated procedure to measure volumes of the cerebral lobes and subcortical structures, requiring manual intervention at several stages in the process. Through use of advanced image processing algorithms the need for manual intervention at stages of image realignment, tissue sampling, and mask editing have been eliminated. In addition, inhomogeneity correction, intensity normalization, and mask cleaning routines have been added to improve the accuracy and consistency of the results. The fully automated method, AutoWorkup, is shown in this study to be more reliable (ICC ≥ 0.96, Jaccard index ≥ 0.80, and Dice index ≥ 0.89 for all tissues in all regions) than the average of 18 manual raters. On a set of 1130 good quality scans, the failure rate for correct realignment was 1.1%, and manual editing of the brain mask was required on 4% of the scans. In other tests, AutoWorkup is shown to produce measures that are reliable for data acquired across scanners, scanner vendors, and across sequences. Application of AutoWorkup for the analysis of data from the 32-site, multivendor PREDICT-HD study yield estimates of reliability to be greater than or equal to 0.90 for all tissues and regions.
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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.