DL-DiReCT
importedsoftware/dl-direct
DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- SCAN-NRAD
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/SCAN-NRAD/DL-DiReCT
- Documentation
- unknown
- Tags
- cortical-thickness · deep-learning · morphometry · mri
- 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.
- mousemorphmorphometry · mri
Tools for MRI mouse brain morphometry
- cat12cortical-thickness
Computational Anatomy Toolbox for SPM
- graynetcortical-thickness
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
Deep CNN for performing 3D super resolution on CT/MRI scans
- api.github.com/repos/SCAN-NRAD/DL-DiReCTretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-04-16, 33 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
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