nipype-preprocess-on-brain-MR
importedsoftware/nipype-preprocess-on-brain-mr
The project is used to do preprocessing on brain MR images by using Nipype.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- acpc · ants · bias-field-correction · brain · brain-imaging · brain-mri · brain-segmentation · dockerfile
- 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.
- macapypeants · brain-segmentation
PNH segmentation pipelines based on nipype
- nilearnbrain-imaging · brain-mri
Machine learning for NeuroImaging in Python
- Brain-IDbrain · brain-segmentation
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
- BrainDiVEbrain · brain-imaging
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)
- HyperDenseNetbrain-segmentation
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
- iCVMapp3rbrain-segmentation
AICONSlab's brain extraction (skull-stripping) algorithm using CNNs
- api.github.com/repos/NatLee/nipype-preprocess-on-brain-MRretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-18, 40 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/48.json→ .entries["nipype-preprocess-on-brain-mr"]
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