superres-mri
importedsoftware/superres-mri
Portable, modular, reusable, and reproducible processing pipeline software for fetal brain MRI super-resolution
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- brainhack-ch
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/brainhack-ch/superres-mri
- Documentation
- unknown
- Tags
- bids-format · bidsapp · brainhack · brainhack-global · fetal · mri · neuroimaging · nipype · opengeneva2019 · slice-to-volume · super-resolution
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- brainhack-donostia.github.iobrainhack · brainhack-global · neuroimaging
Brainhack Donostia website.
- mialsuperresolutiontoolkitfetal · mri · nipype · super-resolution
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal…
- SVRTKfetal · mri · slice-to-volume
MIRTK based SVR reconstruction
- bids2nfbids-format · bidsapp · mri · neuroimaging
Emits nextflow channels from Brain Imaging Data Structure data.
- qsireconbids-format · bidsapp · mri
Reconstruction of preprocessed q-space images (dMRI)
- conn-vizmri · opengeneva2019
OG 2019 - Project 09: Visualizing brain connectomics using D3.js
- api.github.com/repos/brainhack-ch/superres-mriretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2019-11-15, 5 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as BSD-3-Clause, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/13.json→ .entries["superres-mri"]
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