clinicadl
importedsoftware/clinicadl
Open-source Python library for reproducible deep learning in neuroimaging
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- aramis-lab
- Country
- unknown
- Repository
- github.com/aramis-lab/clinicadl
- Documentation
- unknown
- Tags
- brain-imaging · deep-learning · medical-imaging · neuroimaging · python · pytorch
- 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.
- niftiaibrain-imaging · medical-imaging · neuroimaging · pytorch
Train neural nets on 3D images (e.g. MRIs) 🧠
- quickNAT_pytorchbrain-imaging · medical-imaging · pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
- Residual_MLP_CNN_Mixerbrain-imaging · medical-imaging · pytorch
(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.
- n4axbrain-imaging · medical-imaging · neuroimaging
JAX/GPU N4 bias field correction — a fast drop-in match for SimpleITK N4 (~2600x faster on A100, <0.2% match)
- NeuroMorph-Assessmentbrain-imaging · medical-imaging · neuroimaging
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
- niftiviewbrain-imaging · medical-imaging · neuroimaging
View volumetric images in Python 🧠
- api.github.com/repos/aramis-lab/clinicadlretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-03, 185 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/28.json→ .entries["clinicadl"]
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