ReviewCerebral circulation - cognition and behavior2025
Cerebral small vessel disease lesion segmentation methods: A systematic review.
Review in Cerebral circulation - cognition and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Magnetic Resonance Imaging in Cerebral Small Vessel Disease-Related Depression: From Visual Scoring to Artificial Intelligence.CNS neuroscience & therapeutics · 2026Review
- A geometric-to-neural cascade for cerebral microbleed detection in susceptibility-weighted MRI.bioRxiv : the preprint server for biology · 2026Article
- Impact of cardiometabolic factors and AD plasma biomarkers on white matter hyperintensities volume in individuals with cognitive complaints from the global south.Neuroscience · 2026Article
- The relationship between white matter hyperintensity and gait in patients with cerebral small vessel disease.Frontiers in neurology · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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Abstract
Cerebral small vessel disease (CSVD) can manifest as brain lesions visible on magnetic resonance imaging, including white matter hyperintensities (WMH), cerebral microbleeds (CMB), perivascular spaces (PVS), lacunes, and recent small subcortical infarcts (RSSI). Detection and segmentation of these imaging markers can provide valuable information on brain health, including prevention and treatment of dementia. However, manual segmentation is cumbersome, especially for large cohorts in research studies. There has been extensive research into the development of automated tools using machine learning to increase accuracy and efficiency in lesion segmentation. This systematic review aimed to summarize novel automated methods developed over the last 10 years that segment CSVD lesion types and have been validated on a population with or at risk for CSVD (
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