ArticleFrontiers in neuroinformatics2020
Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python.
Article in Frontiers in neuroinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The ANTsX ecosystem for mapping the mouse brain.Nature communications · 2025Article
- Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation.Nature neuroscience · 2025Article
- Modular strategies for spatial mapping of diverse cell type data of the mouse brain.Research square · 2025Article
- A standardized image processing and data quality platform for rodent fMRI.Nature communications · 2024Article
- Article
- Mean amplitude of low frequency fluctuations measured by fMRI at 11.7 T in the aging brain of mouse lemur primate.Scientific reports · 2023Article
- Long term worsening of amyloid pathology, cerebral function, and cognition after a single inoculation of beta-amyloid seeds with Osaka mutation.Acta neuropathologica communications · 2023Article
- Longitudinal multimodal MRI characterization of a knock-in mouse model of Huntington's disease reveals early gray and white matter alterations.Human molecular genetics · 2022Article
- Microcephaly with altered cortical layering in GIT1 deficiency revealed by quantitative neuroimaging.Magnetic resonance imaging · 2021Article
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5 authors.
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Abstract
Small-mammal neuroimaging offers incredible opportunities to investigate structural and functional aspects of the brain. Many tools have been developed in the last decade to analyse small animal data, but current softwares are less mature than the available tools that process human brain data. The Python package Sammba-MRI (SmAll-MaMmal BrAin MRI in Python; http://sammba-mri.github.io) allows flexible and efficient use of existing methods and enables fluent scriptable analysis workflows, from raw data conversion to multimodal processing.
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