Neural_Pre_Processing
importedsoftware/neural-pre-processing
Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Documentation
- unknown
- Tags
- deep-learning · machine-learning · neural-network · neuroimaging · neuroscience
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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Working on a new version of Brainspell (an open-source platform for neuroimaging literature) to make a public JSON API that collaborators can contribute to, switch out the stack for better…
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Python package for analysis and visualization of functional ultrasound imaging data.
- conpyneuroimaging · neuroscience
Python package for power mapping and functional connectivity using DICS
- api.github.com/repos/Novestars/Neural_Pre_Processingretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-31, 30 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/46.json→ .entries["neural-pre-processing"]
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