ArticleHuman brain mapping2025
Comprehensive Segmentation of Deep Grey Nuclei From Structural MRI Data.
Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Toward reliable thalamic segmentation: an evaluation of automated methods for structural MRI.Brain structure & function · 2026Article
- 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
- Comprehensive Segmentation of Deep Grey Nuclei From Structural MRI Data.Human brain mapping · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
There is a lack of tools for comprehensive and complete segmentation of deep grey nuclei using a single software for reproducibility and repeatability. We present a fast, accurate, and robust method for segmentation of deep grey nuclei (thalamic nuclei, basal ganglia, amygdala, claustrum, and red nucleus) from structural T
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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.