ArticleScientific reports2017
Comparison of accuracy between FSL's FIRST and Freesurfer for caudate nucleus and putamen segmentation.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
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Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Feasibility of Non-Sedate Magnetic Resonance Imaging for Children with Cerebral Palsy: Tolerance and Structural Analysis Considerations.Children (Basel, Switzerland) · 2026Article
- An interactive cascaded deep learning framework with expert refinement for accurate striatal subregion segmentation.Scientific reports · 2026Article
- Volumetric differences in the brain in children with hypoxic-ischemic encephalopathy after therapeutic hypothermia: a review of MRI findings.Polish journal of radiology · 2026Review
- A deep learning framework for comprehensive segmentation of deep grey nuclei.medRxiv : the preprint server for health sciences · 2025Article
- Atrophy patterns of deep gray matter nuclei in Alzheimer's disease and frontotemporal dementia.Journal of Alzheimer's disease : JAD · 2025Article
- MRI R2* and quantitative susceptibility mapping in brain tissue with extreme iron overload.European radiology experimental · 2025Article
- A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation.Human brain mapping · 2025Article
- Understanding the return journey: Determinants of route retracing in younger and older adults.Psychology and aging · 2025Article
- The FinnBrain multimodal neonatal template and atlas collection.Communications biology · 2025Article
- Quantitative brain volumetry in neurological disorders: from disease mechanisms to software solutions.Polish journal of radiology · 2025Review
- Comparing automated subcortical volume estimation methods; amygdala volumes estimated by FSL and FreeSurfer have poor consistency.Human brain mapping · 2024Article
- Inter-Software Consistency on the Estimation of Subcortical Structure Volume in Different Age Groups.Human brain mapping · 2024Article
- Accurate Automated Quantification of Dopamine Transporter PET Without MRI Using Deep Learning-based Spatial Normalization.Nuclear medicine and molecular imaging · 2024Article
- Caudate nucleus volume in medicated and unmedicated patients with early- and adult-onset schizophrenia.Scientific reports · 2024Article
- Frontal-striatal glucose metabolism and fatigue in patients with multiple sclerosis, long COVID, and COVID-19 recovered controls.Experimental brain research · 2024Article
- Comparing Automated Subcortical Volume Estimation Methods; Amygdala Volumes Estimated by FSL and FreeSurfer Have Poor Consistency.bioRxiv : the preprint server for biology · 2024Article
- Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.Communications biology · 2024Article
- Deep learning-based, fully automated, pediatric brain segmentation.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although several methods have been developed to automatically delineate subcortical gray matter structures from MR images, the accuracy of these algorithms has not been comprehensively examined. Most of earlier studies focused primarily on the hippocampus. Here, we assessed the accuracy of two widely used non-commercial programs (FSL-FIRST and Freesurfer) for segmenting the caudate and putamen. T1-weighted 1 mm
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