Jfortin1 / neuroCombat
Harmonization of multi-site imaging data with ComBat (Python)
☆133Updated 2 years ago
Alternatives and similar repositories for neuroCombat:
Users that are interested in neuroCombat are comparing it to the libraries listed below
- Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variabl…☆96Updated this week
- Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.☆150Updated 7 months ago
- Harmonization of multi-site imaging data with ComBat☆289Updated last year
- Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanni…☆50Updated 4 years ago
- ☆33Updated 9 months ago
- Framework for the reproducible classification of Alzheimer's disease using machine learning☆41Updated 2 years ago
- Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.☆156Updated 3 months ago
- White matter tractography clustering and more...☆76Updated last month
- Neuro Imaging Chart of AI-based Imaging Biomarkers☆20Updated this week
- Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease☆27Updated 2 years ago
- Implementation of Combat harmonization method with scikit-learn compatible format☆24Updated 5 years ago
- Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)☆139Updated this week
- Official code for "Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data" pa…☆21Updated 3 years ago
- Predicting the age of the brain with minimally processed T1-weighted MRI data☆11Updated last year
- A set of quality control scripts for FreeSurfer- and FastSurfer-processed structural MRI data☆63Updated 5 months ago
- LST-AI - Deep Learning Ensemble for Accurate MS Lesion Segmentation☆32Updated last month
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆66Updated last year
- Preprocessing of diffusion MRI☆153Updated last week
- DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning☆77Updated 2 months ago
- ☆16Updated 5 years ago
- ☆35Updated 2 months ago
- The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox☆68Updated this week
- RadTract: enhanced tractometry with radiomics-based imaging biomarkers for improved predictive modelling.☆11Updated 10 months ago
- Multi-site dMRI harmonization☆47Updated this week
- A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!☆92Updated last month
- Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)☆46Updated 3 years ago
- 3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).☆63Updated 3 years ago
- Correcting Covariance Batch Effects (CovBat): Harmonization of mean and covariance for multi-site data☆24Updated 2 years ago
- Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps☆69Updated 9 months ago
- ☆17Updated 9 months ago