quickNAT_pytorch
importedsoftware/quicknat-pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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
- ai-med
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ai-med/quickNAT_pytorch
- Documentation
- unknown
- Tags
- ai · bayesian · biomarkers · brain-imaging · computer-vision · convolutional-neural-networks · deep-learning · machine-learning · medical-imaging · mri-images · neuroanatomy · pytorch · quality-control · segmentation · uncertainty
- 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.
- causal-gencomputer-vision · medical-imaging · pytorch · uncertainty
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
- nn-common-modulescomputer-vision · convolutional-neural-networks · medical-imaging · pytorch · segmentation
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
- Paint4Brainsbrain-imaging · convolutional-neural-networks · mri-images · segmentation
A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the…
- BayesCapcomputer-vision · medical-imaging · uncertainty
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
- federated_hemedical-imaging · mri-images · pytorch · segmentation
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…
- Residual_MLP_CNN_Mixerbrain-imaging · computer-vision · 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.
- api.github.com/repos/ai-med/quickNAT_pytorchretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-01-07, 104 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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