npnl / ATLASLinks
A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.
☆84Updated 3 years ago
Alternatives and similar repositories for ATLAS
Users that are interested in ATLAS are comparing it to the libraries listed below
Sorting:
- Automated deep-learning based brain tumor segmentation on MRI☆37Updated 3 years ago
- Example download scripts for the OASIS3 project☆169Updated 4 months ago
- Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhanceme…☆209Updated 7 years ago
- Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)☆247Updated last week
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆37Updated 10 months ago
- RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (C…☆110Updated 6 months ago
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆84Updated last month
- Deep Learning tools for brain medical images☆142Updated last year
- Automatic White Matter Bundle Segmentation☆253Updated 2 years ago
- Deep Whole Brain Segmentation Using SLANT Method☆129Updated 2 years ago
- A framework for joint super-resolution and image synthesis, without requiring real training data☆180Updated last year
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆70Updated last year
- Robust Brain Extraction Tool for CT Head Images☆51Updated 5 years ago
- The project is used to do preprocessing on brain MR images by using Nipype.☆40Updated last year
- Repository of hand corrected skullstripping for the Enhanced Rockland Sample Neurofeedback Study☆19Updated 4 years ago
- DeepBleed: 3D Volumetric Intracranial Hemorrhage Segmentation for Clinical Trials☆29Updated 2 years ago
- Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the …☆39Updated 4 years ago
- Resurces for MRI images processing and deep learning in 3D☆147Updated 3 years ago
- NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.☆160Updated 3 years ago
- Framework for the reproducible processing of neuroimaging data with deep learning methods☆178Updated last week
- PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…☆104Updated 5 years ago
- Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)☆66Updated 6 years ago
- Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.☆169Updated last year
- High-throughput Python platform for image reconstruction and analysis☆51Updated this week
- Library for generating images by sampling a GMM conditioned on label maps☆27Updated last year
- This is a tool to quickly preview nifti images on the terminal☆70Updated last year
- A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.☆17Updated 8 months ago
- MIRTK based SVR reconstruction☆64Updated 9 months ago
- An AI-powered open-source medical image analysis toolbox☆73Updated last year
- A project to provide custom sorting and renaming of dicom files☆85Updated 9 months ago